CN114169370A - Method and system for constructing road space-time load pedigree based on grating array - Google Patents
Method and system for constructing road space-time load pedigree based on grating array Download PDFInfo
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Abstract
The invention discloses a method for constructing a road space-time load pedigree based on a grating array, which comprises the following steps: laying a grating sensing array on a selected road, transversely dividing the grating sensing array into sensing units by a lane width and longitudinally by a fixed length, and coding each sensing unit; sensing a vibration signal generated due to the change of the vehicle load by using a grating array sensing array; recording the time stamp of the load information of each sensing unit on each lane according to the sampling frequency of the grating, and classifying according to the time stamp to form a data set; processing the data set, and dividing the statistical units according to the sensing units; scribing at any time, and calculating the accumulated load and the average load of each statistical unit in the time period; drawing a load pedigree of the load in each statistical unit along with the change of the time period; and (3) constructing a three-dimensional space-time load pedigree of the road, wherein X, Y coordinates of the pedigree are road position information, and Z coordinates of the pedigree are load information.
Description
Technical Field
The invention relates to the field of optical fiber sensing, in particular to a method and a system for extracting and establishing a road space-time load pedigree by using a grating array sensing optical fiber.
Background
To date, Chinese highway mileage reaches 484.65 kilometers, wherein the highway is 14.26 kilometers and is the first in the world. In the development process of roads, the construction and maintenance of the roads are a big subject, a road needs to be maintained well, fine management is needed, the roads face the problems of road surface aging, cracking, sinking, cracks and the like in the using process, the problems occur, a road man is urgently needed to repair, and if the road is not processed in time, the driving safety can be seriously threatened.
The road damage is closely related to the load condition of the road surface. Therefore, a system capable of monitoring the road surface load condition in real time is necessary to be researched, so that the road maintenance is facilitated.
Disclosure of Invention
The invention mainly aims to provide a method and a system for extracting and establishing a road space-time load pedigree by using a grating array sensing optical fiber, which can monitor the road surface load condition in real time.
The technical scheme adopted by the invention is as follows:
the method for constructing the space-time load pedigree of the road based on the grating array comprises the following steps:
s1, laying a grating sensing array on the selected road, transversely dividing the grating sensing array into sensing units by a lane width and longitudinally by a fixed length, and coding each sensing unit; sensing a vibration signal generated due to the change of the vehicle load by using a grating array sensing array;
s2, recording time stamps of all data in each sensing unit on each lane according to the sampling frequency of the grating, and classifying according to the time stamps to form a data set;
s3, processing the data set, and dividing statistical units according to the sensing units;
s4, scribing at any time, and calculating the accumulated load and the average load of each statistical unit in the time period;
s5, drawing a load pedigree of the load in each statistical unit changing along with the time period;
and S6, constructing a road three-dimensional space-time load pedigree, wherein the X, Y coordinate of the pedigree is road position information, and the Z coordinate is load information.
According to the technical scheme, the grating sensing array is paved on the roadbed or the road surface of the selected road.
According to the technical scheme, the X, Y coordinate of the load pedigree is statistical unit position information, and the Z coordinate is an accumulated load value.
According to the technical scheme, when the statistics is actually carried out, the lane or a plurality of lanes are combined transversely to form a statistical unit; and taking the sensing unit or a plurality of continuous sensing units as a statistical unit in the longitudinal direction.
According to the technical scheme, in step S6, the position information includes longitudinal length information of the road and transverse lane distribution information; the load information includes an accumulated load generated by the passage of the vehicle on the road.
According to the technical scheme, in the step S5, the starting and stopping time is selected, the selected road section area is calculated, and the accumulated load pedigree of the road section is formed according to the accumulated load value.
The invention also provides a system for constructing a road space-time load pedigree based on the grating array, which comprises the following steps:
the encoding unit is used for paving a grating sensing array on a selected road, transversely dividing the grating sensing array into sensing units by a lane width and longitudinally by a fixed length, and encoding each sensing unit; sensing a vibration signal generated due to the change of the vehicle load by using a grating array sensing array;
the data recording unit is used for recording the time stamp of the load information of each sensing unit on each lane according to the sampling frequency of the grating and classifying according to the time stamp to form a data set;
the data processing unit is used for processing the data set and dividing the statistical units according to the sensing units;
the load calculation unit is used for scribing at any time and calculating the accumulated load and the average load of each statistical unit in the time period;
the load pedigree drawing unit is used for drawing a load pedigree of the load in each statistical unit changing along with a time cycle;
the three-dimensional space-time load pedigree building unit is used for building a road three-dimensional space-time load pedigree, wherein X, Y coordinates of the pedigree building unit are road position information, and Z coordinates of the pedigree building unit are load information.
According to the technical scheme, the grating sensing array is paved on the roadbed or the road surface of the selected road.
According to the technical scheme, the position information comprises longitudinal length information and transverse lane distribution information of the road; the load information includes an accumulated load generated by the passage of the vehicle on the road.
According to the technical scheme, the load pedigree drawing unit is further used for selecting starting and stopping time, calculating the selected road section area and forming the accumulated load pedigree of the road section according to the accumulated load value.
The invention has the following beneficial effects: the invention utilizes the grating sensing array to automatically accumulate the load values in each lane on the road and draw a space-time load pedigree, thereby carrying out long-term real-time monitoring on the road and serving the damage mechanism of the road surface and the online accurate quantitative monitoring. Through the analysis space-time load pedigree, the staff can discern the road damage region fast and take place the reason that the disease damaged based on this analysis road, eliminate the potential safety hazard that road structure probably exists.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a method for constructing a space-time load pedigree of a road based on a grating array according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a sensor unit encoding according to an embodiment of the present invention;
FIG. 3 is a three-dimensional space-time loading diagram according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the method for constructing a space-time load pedigree of a road based on a grating array in the embodiment of the present invention includes the following steps:
s1, laying a grating sensing array on the selected road, transversely dividing the grating sensing array into sensing units by a lane width and longitudinally by a fixed length, and coding each sensing unit; sensing a vibration signal generated due to the change of the vehicle load by using a grating array sensing array;
s2, recording the time stamp of the load information of each sensing unit on each lane according to the sampling frequency of the grating, and classifying according to the time stamp to form a data set;
s3, processing the data set, and dividing statistical units according to the sensing units;
s4, scribing at any time, and calculating the accumulated load and the average load of each statistical unit in the time period;
s5, drawing a load pedigree of the load in each statistical unit changing along with the time period;
and S6, constructing a road three-dimensional space-time load pedigree, wherein the X, Y coordinate of the pedigree is road position information, and the Z coordinate is load information.
Step S1 specifically includes: when the grating sensing array is laid on a selected road, as shown in fig. 2, the grating sensing array is divided into unit codes by a lane width in the transverse direction and a fixed length in the longitudinal direction, the fixed length can be 3-8 m, and specific numerical values can be determined according to different road conditions. When a vehicle passes through the grating array, a vibration signal is generated, and the grating array collects the signal as a signal input.
The encoding rule of the sensing unit is as follows: the sensing unit is coded into an 8-bit alphanumeric character string, which comprises three parts: a first part: the first three digits are lowercase letters, and each combination represents a street; a second part: the 4 th digit is a number and represents lane information; and a third part: the combination of the last four digits represents the position of the coding unit on the lane, the first unit value is 0001, and the values are sequentially increased.
Step S3 specifically includes: in the original data, a lane is taken as a basic sensing unit in the transverse direction, and an original grating array is taken as a basic sensing unit in the longitudinal direction. In actual statistics, any number of transverse basic sensing units and longitudinal basic sensing units can be selected according to requirements to form different statistical units for analysis, so that different road surface load change conditions can be compared.
Step S5 specifically includes: selecting one or some units to form a statistical unit, and taking a set time interval as a period and taking an X axis as information distribution of a transverse lane of the road; the Y axis is longitudinal length information of the road, the Z axis is the size of the accumulated load, the accumulated load value is the sum of load values of each time, and a load pedigree of a single statistical unit changing along with the period is drawn.
In step S5: and correcting the estimated state value by using Kalman filtering by taking an initial pressure value obtained by the vehicle entering the road optical fiber as an estimated state.
Step S6 specifically includes: constructing a three-dimensional space-time load graph of a road, wherein the Z axis is the load size; the X axis is the information distribution of the transverse lane of the road; the Y-axis is the road longitudinal length information. Wherein the origin is the intersection point of the leftmost boundary line of the road and the transverse end surface of the starting point of the road. The X-axis is horizontal with a lane width as a unit value, and the Y-axis is vertical with 1 sensing unit as a unit value.
In the three-dimensional map, different load values can be distinguished by using a color map matrix, and the specific method comprises the following steps: and acquiring the maximum value and the minimum value of the Z-axis coordinate value in the mapping area, wherein the maximum value and the minimum value are used as the amplitude value range of the color map matrix, the Z-axis coordinate value in the value range of the color map matrix is segmented according to the same interval, each value segment corresponds to different colors, and the larger the load value is, the darker the color is. And (3) corresponding the numerical value of each coordinate point in the Z-axis coordinate with the color in the color map matrix, so that the three-dimensional space-time load map is finally displayed in the form of a three-dimensional color map.
The invention also discloses a method for extracting and establishing a space-time load pedigree of a road by using the grating array sensing optical fiber, which mainly comprises the following steps: 1) laying a grating array sensing optical fiber on a selected road along the longitudinal direction of a lane; 2) dividing the road surface sensed by the grating array sensing optical fiber into different sensing units, coding according to the arrangement condition of the sensing optical fiber, and establishing a corresponding relation between the road surface and the optical fiber array unit; 3) the load of each sensing unit is extracted by using the vibration signal sensed by the grating array sensing optical fiber and is used for sensing road surface load information in real time; 4) recording the load of each sensing unit analyzed by the optical fiber sensor demodulator, simultaneously recording the timestamp of load data in each coding unit (namely the sensing unit), and collecting the data of the same timestamp together to generate a two-dimensional space load data set which is divided along with time; 5) the lane is used as a unit in the transverse direction, a plurality of sensing units are longitudinally integrated into a comprehensive unit according to requirements, and the average load value and the maximum load value are calculated; 6) calculating the accumulated load of each sensing unit in the time period on the basis of a certain time, wherein the accumulated load value is the sum of load values of each time; 7) selecting one or some sensing units, and forming a load change rule of the selected road section in the time period by taking the set time interval as a cycle to form a load pedigree; 8) and selecting start-stop time, calculating the selected road section area, and forming an accumulated load pedigree of the road section according to the accumulated load value. The method can quickly and accurately acquire the space-time load pedigree of the road according to the optical fiber sensing technology, acquire the load condition of the road surface and serve the damage mechanism of the road surface and the online accurate quantitative monitoring.
In this embodiment, the code of the sensing unit is an 8-bit alphanumeric character string, which is divided into three parts. The overall encoding is, for example: aaa 40016. The first three digits are all lower case letters. Each combination represents a street. As indicated above, aaa represents a street, for a total of 17576 combinations. The second part is the 4 th bit, representing lane information. The corresponding numbers represent the corresponding lanes and 4 the fourth lane. The third part is the last four digits, representing the specific location of the code on the lane. The coding units at the starting point are named 0001 and sequentially increase. And 0016 represents the 16 th coding unit from the starting point. As shown in FIG. 2, aaa10001 represents street aaa, the first sensing element of the first lane.
In the embodiment of the invention, the sampling frequency of the grating array is 10hz, and the time stamps of all data in each coding unit are recorded according to the sampling frequency of the grating.
During actual data processing, a lane can be used as a basic sensing unit in the transverse direction and an original grating array can be used as a basic sensing unit in the longitudinal direction on original data; in the actual statistics, the transverse direction can be set to be a lane as a basic statistical unit, or a plurality of lanes can be combined to form a statistical unit; the longitudinal direction may be a statistical unit by a basic unit, or may be a statistical unit by a plurality of continuous road surface units.
And (4) scribing at any time, and calculating the accumulated load and the average load of each statistical unit in the time period. When a load pedigree of a single sensing unit is drawn, an initial pressure value obtained when a vehicle enters a road optical fiber is used as an estimation state, and the estimation state value is corrected by Kalman filtering. And calculating the accumulated load of the single sensing unit in the time period by taking a certain time as a period, wherein the accumulated load value is the sum of load values of each time. And forming a load spectrum of the load in the single sensing unit, wherein the X, Y coordinate of the load spectrum is unit position information, and the Z coordinate is a cumulative load value.
When a road three-dimensional space-time load pedigree is constructed, for a three-dimensional map of a road space-time load map, X, Y coordinates of the three-dimensional map are road position information, and Z coordinates are load information. Wherein the location information includes: longitudinal length information and transverse lane distribution information of the road; the load information includes: the vehicle passes through the accumulated load generated on the road. And selecting start-stop time, calculating the selected road section area, and forming an accumulated load pedigree of the road section according to the accumulated load value.
As shown in fig. 3, a three-dimensional space-time load map of the road is constructed, and different load values can be distinguished in the three-dimensional map by using a color map matrix. The Z axis is the load size; the X axis is the information distribution of the transverse lane of the road; the Y-axis is the road longitudinal length information. Wherein the origin is the intersection point of the leftmost boundary line of the road and the transverse end surface of the starting point of the road. The X-axis is horizontal with a lane width as a unit value, and the Y-axis is vertical with 1 sensing unit as a unit value. And restoring the load value in each data set to a road according to the coding rule for drawing a space-time load graph.
The system for constructing the space-time load pedigree of the road based on the grating array comprises the following steps:
the encoding unit is used for paving a grating sensing array on a selected road, transversely dividing the grating sensing array into sensing units by a lane width and longitudinally by a fixed length, and encoding each sensing unit; sensing a vibration signal generated due to the change of the vehicle load by using a grating array sensing array;
the data recording unit is used for recording the time stamp of the load information of each sensing unit on each lane according to the sampling frequency of the grating and classifying according to the time stamp to form a data set;
the data processing unit is used for processing the data set and dividing the statistical units according to the sensing units;
the load calculation unit is used for scribing at any time and calculating the accumulated load and the average load of each statistical unit in the time period;
the load pedigree drawing unit is used for drawing a load pedigree of the load in each statistical unit changing along with a time cycle;
the three-dimensional space-time load pedigree building unit is used for building a road three-dimensional space-time load pedigree, wherein X, Y coordinates of the pedigree building unit are road position information, and Z coordinates of the pedigree building unit are load information.
The system is mainly used for implementing the above method embodiments, and the same parts are not described in detail herein.
In conclusion, the method provided by the invention can quickly and accurately acquire the road space-time load pedigree according to the optical fiber sensing technology, acquire the road surface load condition, and serve the damage mechanism of the road surface and the online accurate quantitative monitoring.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
Claims (10)
1. A method for constructing a road space-time load pedigree based on a grating array is characterized by comprising the following steps:
s1, laying a grating sensing array on the selected road, transversely dividing the grating sensing array into sensing units by a lane width and longitudinally by a fixed length, and coding each sensing unit; sensing a vibration signal generated due to the change of the vehicle load by using a grating array sensing array;
s2, recording the time stamp of the load information of each sensing unit on each lane according to the sampling frequency of the grating, and classifying according to the time stamp to form a data set;
s3, processing the data set, and dividing statistical units according to the sensing units;
s4, scribing at any time, and calculating the accumulated load and the average load of each statistical unit in the time period;
s5, drawing a load pedigree of the load in each statistical unit changing along with the time period;
and S6, constructing a road three-dimensional space-time load pedigree, wherein the X, Y coordinate of the pedigree is road position information, and the Z coordinate is load information.
2. The method for constructing the space-time load pedigree of the road based on the grating array as claimed in claim 1, wherein the grating sensing array is laid on the roadbed or the road surface of the selected road.
3. The method for constructing the space-time load pedigree of the road based on the grating array as claimed in claim 1, wherein X, Y coordinates of the load pedigree are statistical unit position information, and Z coordinates are accumulated load values.
4. The method for constructing the space-time load pedigree of the road based on the grating array as claimed in claim 1, wherein the actual statistics is performed by combining lanes or several lanes transversely into a statistical unit; and taking the sensing unit or a plurality of continuous sensing units as a statistical unit in the longitudinal direction.
5. The method for constructing the space-time load pedigree of the road based on the grating array as claimed in claim 1, wherein in step S6, the position information comprises longitudinal length information of the road and transverse lane distribution information; the load information includes an accumulated load generated by the passage of the vehicle on the road.
6. The method for constructing the space-time load pedigree of the road based on the grating array as claimed in claim 1, wherein in step S5, the start-stop time is selected, the selected road section area is calculated, and the cumulative load pedigree of the road section is formed according to the cumulative load value.
7. A system for constructing a road space-time load pedigree based on a grating array is characterized by comprising the following components:
the encoding unit is used for paving a grating sensing array on a selected road, transversely dividing the grating sensing array into sensing units by a lane width and longitudinally by a fixed length, and encoding each sensing unit; sensing a vibration signal generated due to the change of the vehicle load by using a grating array sensing array;
the data recording unit is used for recording the time stamp of the load information of each sensing unit on each lane according to the sampling frequency of the grating and classifying according to the time stamp to form a data set;
the data processing unit is used for processing the data set and dividing the statistical units according to the sensing units;
the load calculation unit is used for scribing at any time and calculating the accumulated load and the average load of each statistical unit in the time period;
the load pedigree drawing unit is used for drawing a load pedigree of the load in each statistical unit changing along with a time cycle;
the three-dimensional space-time load pedigree building unit is used for building a road three-dimensional space-time load pedigree, wherein X, Y coordinates of the pedigree building unit are road position information, and Z coordinates of the pedigree building unit are load information.
8. The system for constructing the space-time load pedigree of the road based on the grating array as claimed in claim 7, wherein the grating sensing array is laid on the roadbed or the road surface of the selected road.
9. The system for constructing the space-time load pedigree of the road based on the grating array as claimed in claim 7, wherein the position information comprises longitudinal length information of the road and transverse lane distribution information; the load information includes an accumulated load generated by the passage of the vehicle on the road.
10. The system for constructing the road space-time load pedigree based on the grating array as claimed in claim 7, wherein the load pedigree drawing unit is further configured to select start and stop times, calculate selected road section areas, and form an accumulated load pedigree of the road section according to the accumulated load value.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114842680A (en) * | 2022-04-25 | 2022-08-02 | 武汉理工大学 | Airport flight field way intelligent sensing system based on large-capacity grating array sensing network |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201886628U (en) * | 2010-04-23 | 2011-06-29 | 紫光捷通科技股份有限公司 | Vehicle detecting system based on fiber grating technology |
| CN103994809A (en) * | 2014-03-13 | 2014-08-20 | 王强 | Weigh-in-motion method of high-speed and dynamic automobile based on optical fiber grating |
| CN104483049A (en) * | 2014-12-12 | 2015-04-01 | 南京航空航天大学 | Fiber bragg grating sensing dynamic load identification method based on AR model and mahalanobis distance |
| CN108109395A (en) * | 2017-12-27 | 2018-06-01 | 北京信息科技大学 | A kind of vehicle-state detecting system based on fiber grating |
| CN108492579A (en) * | 2018-04-19 | 2018-09-04 | 昆明创培知识产权服务有限公司 | A kind of detection of bridge load and safety control |
| CN111578964A (en) * | 2020-04-13 | 2020-08-25 | 河北德冠隆电子科技有限公司 | High-precision map road information rapid generation system and method based on space-time trajectory reconstruction |
| CN112113649A (en) * | 2020-08-10 | 2020-12-22 | 华南理工大学 | Two-dimensional monitoring system and method for bridge structure response under vehicle load and action thereof |
| CN112747779A (en) * | 2020-12-23 | 2021-05-04 | 武汉理工光科股份有限公司 | Asphalt pavement intelligent monitoring system based on fiber bragg grating sensing |
| CN113624311A (en) * | 2021-07-17 | 2021-11-09 | 浙江大学 | Multi-parameter dynamic vehicle weighing optical fiber sensing system |
-
2021
- 2021-12-06 CN CN202111472025.8A patent/CN114169370B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201886628U (en) * | 2010-04-23 | 2011-06-29 | 紫光捷通科技股份有限公司 | Vehicle detecting system based on fiber grating technology |
| CN103994809A (en) * | 2014-03-13 | 2014-08-20 | 王强 | Weigh-in-motion method of high-speed and dynamic automobile based on optical fiber grating |
| CN104483049A (en) * | 2014-12-12 | 2015-04-01 | 南京航空航天大学 | Fiber bragg grating sensing dynamic load identification method based on AR model and mahalanobis distance |
| CN108109395A (en) * | 2017-12-27 | 2018-06-01 | 北京信息科技大学 | A kind of vehicle-state detecting system based on fiber grating |
| CN108492579A (en) * | 2018-04-19 | 2018-09-04 | 昆明创培知识产权服务有限公司 | A kind of detection of bridge load and safety control |
| CN111578964A (en) * | 2020-04-13 | 2020-08-25 | 河北德冠隆电子科技有限公司 | High-precision map road information rapid generation system and method based on space-time trajectory reconstruction |
| CN112113649A (en) * | 2020-08-10 | 2020-12-22 | 华南理工大学 | Two-dimensional monitoring system and method for bridge structure response under vehicle load and action thereof |
| CN112747779A (en) * | 2020-12-23 | 2021-05-04 | 武汉理工光科股份有限公司 | Asphalt pavement intelligent monitoring system based on fiber bragg grating sensing |
| CN113624311A (en) * | 2021-07-17 | 2021-11-09 | 浙江大学 | Multi-parameter dynamic vehicle weighing optical fiber sensing system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114842680A (en) * | 2022-04-25 | 2022-08-02 | 武汉理工大学 | Airport flight field way intelligent sensing system based on large-capacity grating array sensing network |
| CN114842680B (en) * | 2022-04-25 | 2024-03-08 | 武汉理工大学 | Airport flight path intelligent sensing system based on high-capacity grating array sensing network |
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