CN102900011A - Long-term real-time monitoring system for asphalt pavement structure information based on optical fiber Bragg grating sensor - Google Patents
Long-term real-time monitoring system for asphalt pavement structure information based on optical fiber Bragg grating sensor Download PDFInfo
- Publication number
- CN102900011A CN102900011A CN2012103923620A CN201210392362A CN102900011A CN 102900011 A CN102900011 A CN 102900011A CN 2012103923620 A CN2012103923620 A CN 2012103923620A CN 201210392362 A CN201210392362 A CN 201210392362A CN 102900011 A CN102900011 A CN 102900011A
- Authority
- CN
- China
- Prior art keywords
- sensor
- strain
- time monitoring
- long
- server
- 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.)
- Pending
Links
Images
Abstract
The invention discloses a long-term real-time monitoring system for asphalt pavement structure information based on an optical fiber Bragg grating sensor and relates to a long-term real-time monitoring system for the asphalt pavement structure information. The long-term real-time monitoring system meets the requirement of long-term real-time monitoring of the asphalt pavement structure information. Various data of the asphalt pavement are acquired by adopting A transverse strain sensors, B longitudinal strain sensors, C temperature sensors, D earth pressure gauges, E single point extensometers, F vertical strain sensors, G humidity sensors, a dynamic weighing sensor and a shaft position sensor and are processed by a server, and thus the long-term real-time monitoring on the asphalt pavement structure information is realized. The long-term real-time monitoring system disclosed by the invention is suitable for long-term real-time monitoring of the asphalt pavement structure information.
Description
Technical field
The present invention relates to the long-term real-time monitoring system of a kind of asphalt pavement structure information.
Background technology
In recent years, along with the fast development of national economy and the new variation of current vehicle transport characteristics, the high-grade highway that part has been built serious early damage to pavement just occurred at the 1-2 that is open to traffic, it has reduced the pavement usage quality, shortened service life of road surface, the maintenance work of generation has also improved the cost of building the road indirectly.For many years, although the researcher has carried out a large amount of explorations to the long lifetime of flexible pavement, obtained certain achievement, but be limited to traditional pavement monitoring means and can't obtain the true force-bearing situation of road surface under load and the effect of vehicle complicated coupling, lack a large amount of authentic data road pavement structure functional performancies and carry out system research, so that the investigative technique system imperfection on road surface.
The flexible pavement conduct is the most common, most widely used a kind of road surface types both at home and abroad, is subject to people's favor because it has the advantages such as noise is little, cling property good, the time that is open to traffic is fast, driving is comfortable.But, because of its in use long term exposure under the various complicated environmental conditions such as high low temperature, rainwater, freeze thawing, ultraviolet ray, the repeated action of dynamic load simultaneously also is subject to driving a vehicle, this so that flexible pavement produce such as rut, gather around the destructions such as bag, passing, fatigue cracking, the bituminous mixture that is used for the making flexible pavement belongs to again a kind of viscoelastic material, produce various damage types, reason is very complicated.For the analysis of the source of damage, although part can determine that by the observation of direct effects on surface phenomenon all root is in inside configuration for the disease on most of road surface, from inside to outside expansion is difficult to the truth according to superficial phenomenon judgement inside, road surface.And even some destruction can obtain reason by observation, but this moment, road structure damaged, some in addition caused irremediable catastrophic accident, make a very bad impression, and repair in the later stage road pavement and need to expend a large amount of funds.Based on above reason, asphalt pavement structure information to be monitored, grasp road surface duty is estimated Pavement Condition, estimates just to seem extremely important following application life.
Summary of the invention
The present invention is in order to adapt to the demand to the long-term Real-Time Monitoring of asphalt pavement structure information, thereby a kind of long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor is provided.
Based on the long-term real-time monitoring system of asphalt pavement structure information of fiber Bragg grating sensor, it comprises A lateral strain sensor 1, a B longitudinal strain sensor 2, a C temperature pick up 3, a D earth pressure gauge 4, an E single point extensometer 5, a F vertical strain transducer 6, a G humidity sensor 7, dynamic weighing sensor 8, shaft position sensor 9 and server 10; Described A lateral strain sensor 1, a B longitudinal strain sensor 2, a C temperature pick up 3, a D earth pressure gauge 4, an E single point extensometer 5, a F vertical strain transducer 6, a G humidity sensor 7, dynamic weighing sensor 8 and shaft position sensor 9 are fiber Bragg grating sensor; Described A lateral strain sensor 1, a B longitudinal strain sensor 2, a D earth pressure gauge 4, an E single point extensometer 5, a F vertical strain transducer 6, a G humidity sensor 7, dynamic weighing sensor 8 and shaft position sensor 9 all are positioned at a runway; C temperature pick up 3 is positioned at the scope apart from central strip belt edge 0.5m;
A lateral strain sensor 1 all is embedded in the bitumen layer bottom, described A lateral strain sensor 1 is distributed in inside, road surface, in 2.28 meters ~ 3.48 meters scopes in runway right side, and arrange or along arranging with the perpendicular direction of direction of traffic along the direction identical with direction of traffic; Each lateral strain sensor 1 is all for the lateral strain of measuring flexible pavement; The lateral strain signal output part of described A lateral strain sensor 1 is connected with A lateral strain signal input part of server 10 respectively; A is the integer more than or equal to 3;
B longitudinal strain sensor 2 all is embedded in the bitumen layer bottom, described B longitudinal strain sensor 2 is distributed in inside, road surface, in 2.28 meters ~ 3.48 meters scopes in runway right side, and arrange or along arranging with the perpendicular direction of direction of traffic along the direction identical with direction of traffic; Each longitudinal strain sensor 2 is all for the longitudinal strain of measuring flexible pavement; The longitudinal strain signal output part of described B longitudinal strain sensor 2 is connected with B longitudinal strain signal input part of server 10 respectively; B is the integer more than or equal to 3;
C temperature pick up 3 is embedded in each layer of bitumen layer bottom; Each temperature pick up 3 is respectively applied to measure the temperature of each layer of bitumen layer; The temperature signal output of a described C temperature pick up 3 is connected with C temperature signal input of server 10; C equals the number of plies of bitumen layer;
D earth pressure gauge 4 is embedded in respectively bitumen layer bottom, upper basic unit bottom and soil matrix top, and a described D earth pressure gauge 4 is distributed in inside, road surface, apart from 2.88 meters, runway right side; Each earth pressure gauge 4 is respectively applied to measure the pressure that bitumen layer bottom, upper basic unit bottom and soil matrix top are subject to; The soil pressure signal output part of a described D earth pressure gauge 4 is connected with D soil pressure signal input part of server 10; D is the integer more than or equal to 3;
E single point extensometer 5 is embedded in respectively bitumen layer bottom and soil matrix top, and described each single point extensometer 5 is all for measuring pavement asphalt layer bottom flexure and soil matrix top displacement; The displacement signal output of E single point extensometer 5 is connected with E displacement signal input of server 10; E is the integer more than or equal to 2;
F vertical strain transducer 6 is embedded in surface layer bottom and soil matrix top in the bitumen layer, F vertical strain transducer 6 is distributed in inside, road surface, in 2.28 meters ~ 3.48 meters scopes in runway right side, and arrange or along arranging with the perpendicular direction of direction of traffic along the direction identical with direction of traffic; Each vertical strain transducer 6 is all for the vertical strain of measuring flexible pavement; The vertical strain signal output of described F vertical strain transducer 6 is connected with F vertical strain signal input of server 10 respectively; F is the integer more than or equal to 4;
The present invention buries sensor underground by inside when the bitumen pavement construction, use long-distance optical fiber to finish data transfer, by the data that gather are carried out extraction and analysis, the data such as flexure, strain are located in each layer position that obtains flexible pavement, and then realize the evaluation of road pavement performance and estimate the long-term Real-Time Monitoring of realization asphalt pavement structure information.The present invention can provide for the research of flexible pavement new thinking and solution, and the research of following flexible pavement is had very great meaning.
Description of drawings
Fig. 1 is structural representation of the present invention; Fig. 2 is the installation position floor map of each sensor in the specific embodiment five; Fig. 3 be in the specific embodiment five each sensor along the installation position schematic diagram of depth direction; Fig. 4 is the schematic flow sheet that system of the present invention processes the data that gather.
The specific embodiment
The specific embodiment one, in conjunction with Fig. 1 this specific embodiment is described, based on the long-term real-time monitoring system of asphalt pavement structure information of fiber Bragg grating sensor, it comprises A lateral strain sensor 1, a B longitudinal strain sensor 2, a C temperature pick up 3, a D earth pressure gauge 4, an E single point extensometer 5, a F vertical strain transducer 6, a G humidity sensor 7, dynamic weighing sensor 8, shaft position sensor 9 and server 10; Described A lateral strain sensor 1, a B longitudinal strain sensor 2, a C temperature pick up 3, a D earth pressure gauge 4, an E single point extensometer 5, a F vertical strain transducer 6, a G humidity sensor 7, dynamic weighing sensor 8 and shaft position sensor 9 are fiber Bragg grating sensor; Described A lateral strain sensor 1, a B longitudinal strain sensor 2, a D earth pressure gauge 4, an E single point extensometer 5, a F vertical strain transducer 6, a G humidity sensor 7, dynamic weighing sensor 8 and shaft position sensor 9 all are positioned at a runway; C temperature pick up 3 is positioned at the scope apart from central strip belt edge 0.5m;
A lateral strain sensor 1 all is embedded in the bitumen layer bottom, described A lateral strain sensor 1 is distributed in inside, road surface, in 2.28 meters ~ 3.48 meters scopes in runway right side, and arrange or along arranging with the perpendicular direction of direction of traffic along the direction identical with direction of traffic; Each lateral strain sensor 1 is all for the lateral strain of measuring flexible pavement; The lateral strain signal output part of described A lateral strain sensor 1 is connected with A lateral strain signal input part of server 10 respectively; A is the integer more than or equal to 3;
B longitudinal strain sensor 2 all is embedded in the bitumen layer bottom, described B longitudinal strain sensor 2 is distributed in inside, road surface, in 2.28 meters ~ 3.48 meters scopes in runway right side, and arrange or along arranging with the perpendicular direction of direction of traffic along the direction identical with direction of traffic; Each longitudinal strain sensor 2 is all for the longitudinal strain of measuring flexible pavement; The longitudinal strain signal output part of described B longitudinal strain sensor 2 is connected with B longitudinal strain signal input part of server 10 respectively; B is the integer more than or equal to 3;
C temperature pick up 3 is embedded in each layer of bitumen layer bottom; Each temperature pick up 3 is respectively applied to measure the temperature of each layer of bitumen layer; The temperature signal output of a described C temperature pick up 3 is connected with C temperature signal input of server 10; C equals the number of plies of bitumen layer;
D earth pressure gauge 4 is embedded in respectively bitumen layer bottom, upper basic unit bottom and soil matrix top, and a described D earth pressure gauge 4 is distributed in inside, road surface, apart from 2.88 meters, runway right side; Each earth pressure gauge 4 is respectively applied to measure the pressure that bitumen layer bottom, upper basic unit bottom and soil matrix top are subject to; The soil pressure signal output part of a described D earth pressure gauge 4 is connected with D soil pressure signal input part of server 10; D is the integer more than or equal to 3;
E single point extensometer 5 is embedded in respectively bitumen layer bottom and soil matrix top, and described each single point extensometer 5 is all for measuring pavement asphalt layer bottom flexure and soil matrix top displacement; The displacement signal output of E single point extensometer 5 is connected with E displacement signal input of server 10; E is the integer more than or equal to 2;
F vertical strain transducer 6 is embedded in surface layer bottom and soil matrix top in the bitumen layer, F vertical strain transducer 6 is distributed in inside, road surface, in 2.28 meters ~ 3.48 meters scopes in runway right side, and arrange or along arranging with the perpendicular direction of direction of traffic along the direction identical with direction of traffic; Each vertical strain transducer 6 is all for the vertical strain of measuring flexible pavement; The vertical strain signal output of described F vertical strain transducer 6 is connected with F vertical strain signal input of server 10 respectively; F is the integer more than or equal to 4;
The present invention buries sensor underground by inside when the bitumen pavement construction, use long-distance optical fiber to finish data transfer, by data collection and analysis software data are carried out extraction and analysis, last sensor measured data based on flexible pavement, the design objectives such as place, each layer position flexure, strain during for pavement design, the road pavement performance is estimated and is estimated.The flow process that system of the present invention processes the data that gather as shown in Figure 4; The sensor that the present invention uses is the optical fiber bragg grating FBG sensor, and type has temperature pick up, horizontal strain sensor, vertical strain transducer and pressure sensor.By this invention, new thinking and solution can be provided for the research of flexible pavement, the research of following flexible pavement there is very great meaning.
The present invention has following beneficial effect:
(1), make up the complete long-term real-time monitoring system of flexible pavement of a cover, be following road structure information monitoring method probing direction;
(2) dynamic response state in the inner Driving Loading situation in the actual road surface of monitoring, the working mechanism of analysis flexible pavement;
(3) strain value at place, inner each layer in actual measurement road surface position, the design scheme on feedback with evaluation road surface;
(4) but estimate according to the performance (rut, fatigue life, crack) that records road surface dynamic response real data road pavement future, based on precompensation parameter, for the maintenance on road surface provides technical support, determine best maintenance opportunity to save maintenance costs.
The difference of the described long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor of the specific embodiment two, this specific embodiment and the specific embodiment one is, it also comprises big capacity hard disk 11, and the storage signal output of described big capacity hard disk 11 or input input or output end with the storage signal of server 10 and be connected.
The difference of the described long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor of the specific embodiment three, this specific embodiment and the specific embodiment one is, it also comprises H client server 12, a described H client server 12 access Internet nets, server 10 access Internet nets.
The difference of the described long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor of the specific embodiment four, this specific embodiment and the specific embodiment one is that A lateral strain sensor 1, a B longitudinal strain sensor 2, a C temperature pick up 3, a D earth pressure gauge 4, an E single point extensometer 5, a F vertical strain transducer 6, a G humidity sensor 7, dynamic weighing sensor 8 and shaft position sensor 9 all carry out signal by optical fiber and server 10 to be transmitted.
Below by specific embodiment and in conjunction with Fig. 2 and Fig. 3 the present invention is described:
Wherein Fig. 2 middle distance d1=150cm, apart from d2=180cm, apart from d3=150cm, apart from d4=150cm, apart from d1=100cm, apart from d6=100cm, apart from d7=60cm, apart from d8=1.92m ~ 2.1m, apart from d9=0.88m, apart from d10=5.25m, apart from d11=0.5m, apart from d12=3.75cm, apart from d13=180cm; Mark 21 is mounting shaft front-rear center section.
Fig. 3 medium pitch layer comprises altogether: four layers of surface layer among 5cm SMA-16 upper layer, the 7cm AC-20,10cm ATB-25 the Sub and 12cm ATB-30 flexbile bases.
1, schematic design:
Lateral strain sensor (6):
Be positioned at the 12cm ATB-30 pitch end layer by layer, lay totally 3 along tire center line bilateral symmetry, before and after the tire center line, arrange 2, form the lateral strain test matrix, totally 6, be used for the on-the-spot lateral strain actual measurement in actual road surface.
Longitudinal strain sensor (6):
Be positioned at the 12cm ATB-30 pitch end layer by layer, lay totally 3 along tire center line bilateral symmetry, before and after the tire center line, arrange 2, form the longitudinal strain test matrix, totally 6, be used for the on-the-spot longitudinal strain actual measurement in actual road surface.
Vertical strain transducer (5):
Be arranged at the bottom of the 7cm AC-20 bitumen layer surface layer layer, be symmetrically arranged along the tire center line, totally 3, be used for the on-the-spot vertical strain actual measurement in actual road surface;
Be positioned at the soil matrix top, before and after the tire center line, arrange 2 (as parallel member), be used for the on-the-spot vertical strain actual measurement in actual road surface.
Temperature pick up (4):
Be positioned at each layer of bitumen layer bottom, be reduce the impact of traffic load, lay with apart from median strip 0.5m.
Humidity sensor (6):
Be positioned at upper and lower basic unit middle part and push up downward 0.1m place apart from soil matrix, before and after the tire center line, arrange 2 (parallel member), be used for the test of accelerating and loading test soil matrix class material humidity.
Earth pressure gauge (6):
Be positioned at bitumen layer bottom, upper basic unit bottom and soil matrix top, before and after the tire center line, arrange 2 (parallel member), be used for accelerated loading and field measurement test certain layer earth pressure test.
Shaft position sensor (1 cover):
Be positioned at asphalt uplayer, apart from strain transducer test matrix 4m, perpendicular to vehicle heading, length is by 1.8m, and vehicle location is located when being used for on-the-spot strain actual measurement, and the front and back parallel strip is realized the car speed test, the test of vehicle loading position is realized at central strip angle at 45 °.
Single point extensometer (1 cover):
Apart from strain transducer test matrix 2.5m, arrange 2 test points along depth direction, be respectively bitumen layer bottom and 2 measuring points in soil matrix top, for flexure and soil matrix top displacement measurement at the bottom of the accelerating and loading test test medium pitch layer;
2, laying of roadway spot sensor distribution method
A, adopt the backguy trigonometry that sensor is buried underground the position in advance to position, and with the mark that sprays paint;
B, bury underground a little and metallic channel with the instruments such as pick, spade, drill rod excavations sensor.The earth pressure cell burial place scrapes out diameter 28cm, the cylinder of dark 5cm, vertical sensor burial place scrapes out diameter 7.5cm, the hole of dark 10cm, and metallic channel is the wide 7cm in top, the del of dark 5cm, the larger stone of eliminating particle is avoided the sensor part to be subject to the concentrated force effect and is made measurement result inaccurate, and will guarantee that there is not large bending angle in wire when burying underground simultaneously, in order to avoid produce larger light loss, and cause survey data inaccurate;
C, after the excavations such as the burial place metallic channel of each deck sensor appointment are good, adopt total powerstation that each sensor position is positioned, strictly set reference point, accurately measure, the plan-position that draws each sensor is to do the usefulness in later stage;
D, sensor installation.Measure the degree of depth of hole groove with chi, and use nominal maximum aggregate size will cheat trench bottom less than the fines of 2.36mm and pave, tamp with iron hammer;
E, the small-sized level gauge of use and ball level are carried out leveling to soil pressure sensor and vertical sensor respectively, to guarantee only to be subject to the vertical direction masterpiece time spent, do not produce the component of horizontal direction at sensor internal;
F, the sensor conductor that uses band will meet at are together put in order and colligation;
G, adopt the 2.36mm sieve that the packing material of sensor installation and wire burial place is sieved, and with the fine earth after the screening to sensor with wire is protected and hand compaction, the compacting process can not adopt excessive power, in order to avoid cause the sensor damage;
After H, sensor bury, lay as early as possible the superstructure material, avoid the sensor long term exposure to cause outside losing and damage, in the paving process of superstructure material, adjust paver and make it just above sensor, can not allow wheel act directly on the sensor.During compacting, when rolled the position near sensor, front twice static pressure can not be opened vibrations;
I, bury underground in the process and will carry out mark to sensor at sensor, the sensor of each position is accurately numbered, avoid confusion.And want in time sensor conductor and the termination of introducing manhole suitably to be protected, protection requires its waterproof, anticorrosion.The wire of noting sensor can not block, and its unnecessary wire disk should be got up wrap, and is suspended in the manhole, and installs over cap additional in the above, so that later stage use when being connected with main cable.
3, transfer of data, collection analysis, storage system
Data acquisition plan is designed and developed special data acquisition software.Software is installed on the server of data acquisition chamber, directly fiber Bragg grating (FBG) demodulator database and dynamic weighing database is linked and the data extraction by host computer, and uses RAID5 disk array mode that data are backed up.Remote subscriber can directly be observed in order to reach, the purpose of data query, and software adopts client-server (C/S) mode construction, uses the TCP/IP network transmission protocol to finish the connection of Terminal Server Client.After data acquisition is arrived, use the correlation theory of DSP that the data that gather are processed and analyzed, obtain the dynamic response situation on road surface under the Driving Loading.
Claims (10)
1. based on the long-term real-time monitoring system of asphalt pavement structure information of fiber Bragg grating sensor, it is characterized in that: it comprises A lateral strain sensor (1), a B longitudinal strain sensor (2), a C temperature pick up (3), a D earth pressure gauge (4), an E single point extensometer (5), a F vertical strain transducer (6), a G humidity sensor (7), dynamic weighing sensor (8), shaft position sensor (9) and server (10); Described A lateral strain sensor (1), a B longitudinal strain sensor (2), a C temperature pick up (3), a D earth pressure gauge (4), an E single point extensometer (5), a F vertical strain transducer (6), a G humidity sensor (7), dynamic weighing sensor (8) and shaft position sensor (9) are fiber Bragg grating sensor; Described A lateral strain sensor (1), a B longitudinal strain sensor (2), a D earth pressure gauge (4), an E single point extensometer (5), a F vertical strain transducer (6), a G humidity sensor (7), dynamic weighing sensor (8) and shaft position sensor (9) all are positioned at a runway; C temperature pick up (3) is positioned at the scope apart from central strip belt edge 0.5m;
A lateral strain sensor (1) all is embedded in the bitumen layer bottom, described A lateral strain sensor (1) is distributed in inside, road surface, in 2.28 meters ~ 3.48 meters scopes in runway right side, and arrange or along arranging with the perpendicular direction of direction of traffic along the direction identical with direction of traffic; Each lateral strain sensor (1) is all for the lateral strain of measuring flexible pavement; The lateral strain signal output part of described A lateral strain sensor (1) is connected with A lateral strain signal input part of server (10) respectively; A is the integer more than or equal to 3;
B longitudinal strain sensor (2) all is embedded in the bitumen layer bottom, described B longitudinal strain sensor (2) is distributed in inside, road surface, in 2.28 meters ~ 3.48 meters scopes in runway right side, and arrange or along arranging with the perpendicular direction of direction of traffic along the direction identical with direction of traffic; Each longitudinal strain sensor (2) is all for the longitudinal strain of measuring flexible pavement; The longitudinal strain signal output part of described B longitudinal strain sensor (2) is connected with B longitudinal strain signal input part of server (10) respectively; B is the integer more than or equal to 3;
C temperature pick up (3) is embedded in each layer of bitumen layer bottom; Each temperature pick up (3) is respectively applied to measure the temperature of each layer of bitumen layer; The temperature signal output of a described C temperature pick up (3) is connected with C temperature signal input of server (10); C equals the number of plies of bitumen layer;
D earth pressure gauge (4) is embedded in respectively bitumen layer bottom, upper basic unit bottom and soil matrix top, and a described D earth pressure gauge (4) is distributed in inside, road surface, apart from 2.88 meters, runway right side; Each earth pressure gauge (4) is respectively applied to measure the pressure that bitumen layer bottom, upper basic unit bottom and soil matrix top are subject to; The soil pressure signal output part of a described D earth pressure gauge (4) is connected with D soil pressure signal input part of server (10); D is the integer more than or equal to 3;
E single point extensometer (5) is embedded in respectively bitumen layer bottom and soil matrix top, and described each single point extensometer (5) is all for measuring pavement asphalt layer bottom flexure and soil matrix top displacement; The displacement signal output of E single point extensometer (5) is connected with E displacement signal input of server (10); E is the integer more than or equal to 2;
F vertical strain transducer (6) is embedded in surface layer bottom and soil matrix top in the bitumen layer, F vertical strain transducer (6) is distributed in inside, road surface, in 2.28 meters ~ 3.48 meters scopes in runway right side, and arrange or along arranging with the perpendicular direction of direction of traffic along the direction identical with direction of traffic; Each vertical strain transducer (6) is all for the vertical strain of measuring flexible pavement; The vertical strain signal output of described F vertical strain transducer (6) is connected with F vertical strain signal input of server (10) respectively; F is the integer more than or equal to 4;
G humidity sensor (7) is embedded in respectively upper and lower basic unit middle part and pushes up downward 0.1m place apart from soil matrix, and G humidity sensor (7) is distributed on the road surface and apart from 2.88 places, runway right side; The moisture signal output of each humidity sensor (7) is connected with the moisture signal input of server (10); G is the positive integer more than or equal to 3;
Dynamic weighing sensor (8) is arranged on the top of bitumen layer, and described dynamic weighing sensor (8) is used for the number of axle, each axle weight, vehicle and the velocity information that dynamic test crosses vehicle; The information of vehicles output of described dynamic weighing sensor (8) is connected with the information of vehicles input of server (10);
Shaft position sensor (9) is embedded in the top of bitumen layer, and perpendicular to the travel direction of vehicle; Described shaft position sensor (9) is used for the loading position of measuring vehicle; The vehicle location information output of described shaft position sensor (9) is connected with the vehicle location information input terminal of server (10).
2. the long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor according to claim 1, it is characterized in that it also comprises big capacity hard disk (11), the storage signal output of described big capacity hard disk (11) or input input or output end with the storage signal of server (10) and are connected.
3. the long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor according to claim 1, it is characterized in that it also comprises H subscription client (12), a described H subscription client (12) access Internet net, server (10) access Internet net.
4. the long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor according to claim 1 is characterized in that A lateral strain sensor (1), a B longitudinal strain sensor (2), a C temperature pick up (3), a D earth pressure gauge (4), an E single point extensometer (5), a F vertical strain transducer (6), a G humidity sensor (7), dynamic weighing sensor (8) and shaft position sensor (9) all carry out the signal transmission by optical fiber and server (10).
5. the long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor according to claim 1 is characterized in that A=6, and is 2 and takes advantage of 3 matrix to arrange, and the distances of adjacent two row are 60cm; B=6, and be 2 and take advantage of 3 matrix to arrange, and the distances of adjacent two row are 60cm.
6. the long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor according to claim 1, it is characterized in that C temperature pick up (3) along different depth arrange and with the distance of central strip belt edge less than 0.5cm.
7. the long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor according to claim 1 is characterized in that distance is 100cm between adjacent two earth pressure gauges (4).
8. the long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor according to claim 1, it is characterized in that when vertical strain transducer (6) along arranging when arranging with the perpendicular direction of tire center line, the distance between adjacent two vertical strain transducers (6) is 60cm.
9. the long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor according to claim 1 is characterized in that the distance between adjacent two humidity sensors (7) is 100cm.
10. the long-term real-time monitoring system of asphalt pavement structure information based on fiber Bragg grating sensor according to claim 1 is characterized in that dynamic weighing sensor (8) laterally runs through the place runway; And follow the car direction at a distance of 150cm with shaft position sensor (9).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012103923620A CN102900011A (en) | 2012-10-16 | 2012-10-16 | Long-term real-time monitoring system for asphalt pavement structure information based on optical fiber Bragg grating sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012103923620A CN102900011A (en) | 2012-10-16 | 2012-10-16 | Long-term real-time monitoring system for asphalt pavement structure information based on optical fiber Bragg grating sensor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102900011A true CN102900011A (en) | 2013-01-30 |
Family
ID=47572479
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012103923620A Pending CN102900011A (en) | 2012-10-16 | 2012-10-16 | Long-term real-time monitoring system for asphalt pavement structure information based on optical fiber Bragg grating sensor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102900011A (en) |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103353280A (en) * | 2013-07-01 | 2013-10-16 | 长安大学 | Underground sensor network used for expressway life monitoring and deployment method thereof |
| CN103924500A (en) * | 2014-04-25 | 2014-07-16 | 哈尔滨工业大学 | Long-term real-time monitoring system for structural information of airport asphalt pavement based on trigger acquisition and wireless transmission |
| CN105178150A (en) * | 2015-11-03 | 2015-12-23 | 哈尔滨工业大学 | Fiber grating sensing-based asphalt pavement compaction monitoring method |
| CN106644007A (en) * | 2016-08-30 | 2017-05-10 | 辉因科技(北京)有限公司 | Diagonal axis type dynamic weight measurement system and diagonal axis type dynamic weight measurement method |
| CN107014442A (en) * | 2017-05-24 | 2017-08-04 | 黑龙江工程学院 | Based on MMLS3 accelerated loading apparatus optical fiber grating sensor distribution methods |
| CN108277728A (en) * | 2018-01-04 | 2018-07-13 | 中国恩菲工程技术有限公司 | Road deck Defect inspection method and system |
| CN110514250A (en) * | 2019-09-26 | 2019-11-29 | 中交公规土木大数据信息技术（北京）有限公司 | A kind of pavement structure monitoring system based on Multi-sensor Fusion |
| CN111256869A (en) * | 2020-01-19 | 2020-06-09 | 哈尔滨工业大学 | Optical fiber sensor for road for testing temperature field along depth direction and arrangement method |
| CN111629346A (en) * | 2020-05-25 | 2020-09-04 | 中铁建大桥工程局集团第四工程有限公司 | Bridge deck pavement intelligent compaction monitoring system and method based on wireless sensor |
| CN112227163A (en) * | 2020-10-13 | 2021-01-15 | 广州新程北斗信息科技有限公司 | Internet of vehicles road detection equipment |
| CN112342877A (en) * | 2020-10-29 | 2021-02-09 | 钟吉昌 | Road flatness detection method |
| CN112414460A (en) * | 2020-11-11 | 2021-02-26 | 长沙理工大学 | Measurement system for intelligence is gathered bituminous surface layer dynamic mechanics response |
| CN112414461A (en) * | 2020-11-11 | 2021-02-26 | 长沙理工大学 | Measurement system for dynamic mechanical response of intelligent acquisition concrete surface layer |
| CN112414459A (en) * | 2020-11-11 | 2021-02-26 | 长沙理工大学 | Measurement system for intelligence acquisition road surface basic unit developments mechanics response |
| CN112525073A (en) * | 2020-11-19 | 2021-03-19 | 哈尔滨工业大学 | Concrete crack position and width identification method based on Brillouin gain spectrum |
| CN114892562A (en) * | 2022-06-22 | 2022-08-12 | 武汉理工大学 | Construction fixing method of embedded fiber grating sensor |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101696878A (en) * | 2009-10-23 | 2010-04-21 | 山东省交通科学研究所 | Method for detecting stress and strain of road surface |
| CN201741025U (en) * | 2010-07-20 | 2011-02-09 | 上海瑞路道路工程技术有限公司 | Asphalt mixture dynamic quality remote monitoring system |
| CN202139617U (en) * | 2011-05-30 | 2012-02-08 | 北京国网富达科技发展有限责任公司 | System for monitoring power transmission line pole tower foundation settlement based on single-point displacement |
| CN102542802A (en) * | 2011-12-23 | 2012-07-04 | 哈尔滨工业大学 | Real-time remote monitoring system of highway traffic load information |
-
2012
- 2012-10-16 CN CN2012103923620A patent/CN102900011A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101696878A (en) * | 2009-10-23 | 2010-04-21 | 山东省交通科学研究所 | Method for detecting stress and strain of road surface |
| CN201741025U (en) * | 2010-07-20 | 2011-02-09 | 上海瑞路道路工程技术有限公司 | Asphalt mixture dynamic quality remote monitoring system |
| CN202139617U (en) * | 2011-05-30 | 2012-02-08 | 北京国网富达科技发展有限责任公司 | System for monitoring power transmission line pole tower foundation settlement based on single-point displacement |
| CN102542802A (en) * | 2011-12-23 | 2012-07-04 | 哈尔滨工业大学 | Real-time remote monitoring system of highway traffic load information |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103353280B (en) * | 2013-07-01 | 2015-10-28 | 长安大学 | For in-ground sensor network and the dispositions method thereof of the monitoring of highway life-span |
| CN103353280A (en) * | 2013-07-01 | 2013-10-16 | 长安大学 | Underground sensor network used for expressway life monitoring and deployment method thereof |
| CN103924500A (en) * | 2014-04-25 | 2014-07-16 | 哈尔滨工业大学 | Long-term real-time monitoring system for structural information of airport asphalt pavement based on trigger acquisition and wireless transmission |
| CN105178150A (en) * | 2015-11-03 | 2015-12-23 | 哈尔滨工业大学 | Fiber grating sensing-based asphalt pavement compaction monitoring method |
| CN105178150B (en) * | 2015-11-03 | 2017-04-12 | 哈尔滨工业大学 | Fiber grating sensing-based asphalt pavement compaction monitoring method |
| CN106644007A (en) * | 2016-08-30 | 2017-05-10 | 辉因科技(北京)有限公司 | Diagonal axis type dynamic weight measurement system and diagonal axis type dynamic weight measurement method |
| CN107014442A (en) * | 2017-05-24 | 2017-08-04 | 黑龙江工程学院 | Based on MMLS3 accelerated loading apparatus optical fiber grating sensor distribution methods |
| CN108277728B (en) * | 2018-01-04 | 2023-06-23 | 中国恩菲工程技术有限公司 | Road surface layer disease detection method and system |
| CN108277728A (en) * | 2018-01-04 | 2018-07-13 | 中国恩菲工程技术有限公司 | Road deck Defect inspection method and system |
| CN110514250A (en) * | 2019-09-26 | 2019-11-29 | 中交公规土木大数据信息技术（北京）有限公司 | A kind of pavement structure monitoring system based on Multi-sensor Fusion |
| CN111256869A (en) * | 2020-01-19 | 2020-06-09 | 哈尔滨工业大学 | Optical fiber sensor for road for testing temperature field along depth direction and arrangement method |
| CN111629346A (en) * | 2020-05-25 | 2020-09-04 | 中铁建大桥工程局集团第四工程有限公司 | Bridge deck pavement intelligent compaction monitoring system and method based on wireless sensor |
| CN112227163A (en) * | 2020-10-13 | 2021-01-15 | 广州新程北斗信息科技有限公司 | Internet of vehicles road detection equipment |
| CN112342877A (en) * | 2020-10-29 | 2021-02-09 | 钟吉昌 | Road flatness detection method |
| CN112342877B (en) * | 2020-10-29 | 2021-12-21 | 宁夏公路工程质量检测中心(有限公司) | Road flatness detection method |
| CN112414460A (en) * | 2020-11-11 | 2021-02-26 | 长沙理工大学 | Measurement system for intelligence is gathered bituminous surface layer dynamic mechanics response |
| CN112414461A (en) * | 2020-11-11 | 2021-02-26 | 长沙理工大学 | Measurement system for dynamic mechanical response of intelligent acquisition concrete surface layer |
| CN112414459A (en) * | 2020-11-11 | 2021-02-26 | 长沙理工大学 | Measurement system for intelligence acquisition road surface basic unit developments mechanics response |
| CN112525073A (en) * | 2020-11-19 | 2021-03-19 | 哈尔滨工业大学 | Concrete crack position and width identification method based on Brillouin gain spectrum |
| CN112525073B (en) * | 2020-11-19 | 2022-06-03 | 哈尔滨工业大学 | Structural crack identification method based on Brillouin gain spectrum characteristic parameters |
| CN114892562A (en) * | 2022-06-22 | 2022-08-12 | 武汉理工大学 | Construction fixing method of embedded fiber grating sensor |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102900011A (en) | Long-term real-time monitoring system for asphalt pavement structure information based on optical fiber Bragg grating sensor | |
| CN107064476B (en) | Road airport bituminous pavement modulus back-calculation device and method based on pavement monitoring | |
| Timm et al. | Design and instrumentation of the structural pavement experiment at the NCAT test track | |
| CN105547364B (en) | The splice type distributed optical fiber sensing system of roadbed internal monitoring | |
| CN113418641B (en) | Road stress and strain comprehensive monitoring method based on FBG fiber bragg grating sensing technology | |
| CN103353280B (en) | For in-ground sensor network and the dispositions method thereof of the monitoring of highway life-span | |
| CN102519748A (en) | Actual bridge loading and long-term monitoring test method for asphalt pavement of beam steel bridge | |
| Talvik et al. | Use of FWD deflection basin parameters (SCI, BDI, BCI) for pavement condition assessment | |
| CN101900533A (en) | Optical fiber grating measurement method for monitoring embankment section settlement | |
| CN110686613A (en) | Roadbed deformation monitoring system based on distributed optical fiber dynamic and static strain test | |
| CN104976983A (en) | Slide slope distribution monitoring device and monitoring method thereof | |
| CN103524061A (en) | Micro-surfacing mixture mineral aggregate grading optimization design method | |
| CN110398229A (en) | A kind of subgrade settlement monitoring device and its installation method based on Fiber Bragg Grating technology | |
| CN105157999B (en) | Appraisal procedure based on Distributed Optical Fiber Sensing Techniques pile integrality and lateral displacement | |
| Chen et al. | Full-scale field testing on a highway composite pavement dynamic responses | |
| Liu et al. | Characteristics and analysis of dynamic strain response on typical asphalt pavement using Fiber Bragg Grating sensing technology | |
| Korkiala-Tanttu et al. | Effect of the spring and overload on the rutting of a low-volume road: HVS-Nordic-research | |
| CN110991009A (en) | Method for determining stress deformation of pipeline based on soil loss below buried pipeline under action of overlying load | |
| Uddin | Pavement Performance Measures Using Android-Based Smart Phone Application | |
| CN203323712U (en) | Underground sensor network used for monitoring service life of expressway | |
| CN109357823A (en) | A method of actual measurement road surface structare layer axis carries active position, the maximum strain of layer bottom and axis and carries speed | |
| CN216719119U (en) | Health detection system for operation highway structure group | |
| Ceylan et al. | Impact of farm equipment loading on low-volume concrete road structural response and performance | |
| Donev et al. | Instrumentation of field-testing sites for dynamic characterization of the temperature-dependent stiffness of pavements and their layers | |
| CN212567367U (en) | Airport roadbed settlement monitoring structure based on distributed optical fiber embedding |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130130 |