CN113804242A - Pavement monitoring system, and method and device for determining sensor arrangement position - Google Patents
Pavement monitoring system, and method and device for determining sensor arrangement position Download PDFInfo
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D5/00—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable
- G01D5/26—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light
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Abstract
The application discloses a pavement monitoring system, and a method and a device for determining the layout position of a sensor. The method specifically comprises the following steps: the system comprises a plurality of monitoring subsystems, each monitoring subsystem comprising a plurality of monitoring units; each monitoring unit includes: the optical fiber sensors are connected with the optical cable in series, and the second optical fiber sensors are connected with the optical cable in series or in parallel; the first type optical fiber sensor is arranged at a first arrangement position of the monitored road surface, the first arrangement position is determined according to the obtained road surface structure type of the monitored road surface, and an included angle between the first type optical fiber sensor and a central line of the monitored road surface is a preset angle. According to the embodiment of the application, the effectiveness of monitoring the road health state can be improved.
Description
Technical Field
The application belongs to the technical field of traffic monitoring, and particularly relates to a pavement monitoring system, a method, a device, equipment and a medium for determining the layout positions of sensors.
Background
Generally, in order to find the problems of road surface damage and the like in time, maintain the road surface and guarantee the driving safety of the road, the health state of the asphalt road surface needs to be monitored in real time.
In the related art, a general road surface monitoring system includes a monitoring data acquisition device, a transmission device, a data processing device, and the like, and can realize real-time monitoring of the health state of an asphalt road surface. However, the existing pavement monitoring system still has some defects, such as unreasonable layout of devices such as sensing devices in the system, and inability to better monitor the pavement in real time in a large range, which affects the effectiveness of the whole monitoring system to a certain extent and reduces the accuracy and effectiveness of monitoring the health status of the pavement.
Disclosure of Invention
The embodiment of the application provides a pavement monitoring system, a method, a device, equipment and a medium for determining the layout positions of sensors, and can improve the accuracy and effectiveness of pavement health state monitoring through reasonable layout of various optical fiber sensors in the system.
In a first aspect, an embodiment of the present application provides a road surface monitoring system, which includes a plurality of monitoring subsystems, each of which includes a plurality of monitoring units;
each of the monitoring units includes: the optical fiber sensors of the first type are connected with the optical cable after being connected in series, and the optical fiber sensors of the second type are connected with the optical cable after being connected in series or in parallel;
the first type optical fiber sensor is arranged at a first arrangement position of the monitored road surface, the first arrangement position is determined according to the obtained road surface structure type of the monitored road surface, and an included angle between the first type optical fiber sensor and a central line of the monitored road surface is a preset angle.
Optionally, the second type optical fiber sensor is arranged at a second arrangement position of the monitored road surface, and the second arrangement position is determined by using a preset algorithm according to the acquired vehicle wheel track transverse distribution characteristic information.
Optionally, each of the monitoring subsystems further comprises: the system comprises road side sensing data acquisition equipment, sensing data edge calculation equipment and road side wireless transmission equipment;
the roadside sensing data acquisition equipment is used for acquiring monitoring data acquired by each monitoring unit;
the sensing data edge calculation equipment is used for preprocessing the monitoring data acquired by the road side sensing data acquisition equipment;
and the road side wireless transmission equipment is used for transmitting the monitoring data processed by the sensing data edge computing equipment to a monitoring management server of the road surface monitoring system.
Optionally, when the road surface structure type is a composite road surface structure, an included angle between the first type optical fiber sensor and a center line of the monitored road surface is a first preset angle;
when the pavement structure type is a filling and digging boundary pavement, the included angle between the first type optical fiber sensor and the center line of the monitored pavement is a second preset angle.
Optionally, the first type of optical fiber sensor comprises at least one of a sensor for monitoring a road surface cracking condition of the road surface, a deformation condition or a vibration condition;
the second type optical fiber sensor comprises at least one of an acceleration sensor, a strain sensor, a displacement sensor, a temperature sensor and a humidity sensor;
wherein the first type of fiber optic sensor is a distributed fiber optic sensor; the second type of fiber optic sensor is a fiber grating sensor.
Optionally, the embedding depth of the first type optical fiber sensor ranges from a first preset depth to a second preset depth;
the embedding depth range of the second type optical fiber sensor is from a third preset depth to a fourth preset depth.
Optionally, the second type of fibre-optic sensor comprises a first sub-fibre-optic sensor and a second sub-fibre-optic sensor;
a plurality of the first sub optical fiber sensors are arranged at each lane of the monitored road surface;
and a plurality of second sub optical fiber sensors are arranged on a hard road shoulder of the monitored road surface.
Optionally, a plurality of said first type fibre optic sensors are arranged for each lane of said monitored road surface.
In a second aspect, an embodiment of the present application provides a method for determining a sensor deployment position, where the method is applied to deploy a sensor in a road surface monitoring system as described in the first aspect and optional in the first aspect, and the method includes:
acquiring the road surface structure type of a monitored road surface;
determining a first layout position of a first type optical fiber sensor according to the pavement structure type of the monitored pavement; the optical fiber monitoring system is used for laying the first type optical fiber sensors according to the first laying position, and an included angle between the first type optical fiber sensors and a central line of the monitored road surface is a preset angle.
Optionally, the method further comprises:
acquiring vehicle wheel track transverse distribution characteristic information of a lane of a monitored road surface;
and determining a second layout position of the second type optical fiber sensor by using a preset algorithm according to the transverse distribution characteristic information of the vehicle wheel track.
Optionally, the determining, according to the vehicle wheel track transverse distribution characteristic information, a second layout position of the second type optical fiber sensor by using a preset algorithm includes:
when the second type optical fiber sensor is a first sub optical fiber sensor, fitting the transverse distribution characteristic information of the vehicle wheel track by using a double-Gaussian distribution algorithm, and calculating to obtain an expected value of double-Gaussian distribution;
calculating to obtain a target mark position according to the expected value of the double-Gaussian distribution;
determining the second layout position according to the target mark position and a preset first distance range; wherein the content of the first and second substances,
the preset first distance range is a preset maximum distance value from the target mark position along the driving direction.
Optionally, each of the second deployment locations comprises 1 or 2 first sub-fibre optic sensors.
Optionally, the determining, according to the vehicle wheel track transverse distribution characteristic information, a second layout position of the second type optical fiber sensor by using a preset algorithm includes:
and when the second type optical fiber sensor is a second sub optical fiber sensor, determining that the second layout position comprises a hard road shoulder.
Optionally, when the road surface structure type is a composite road surface structure, an included angle between the first type optical fiber sensor and a center line of the monitored road surface is a first preset angle;
when the pavement structure type is a filling and digging boundary pavement, the included angle between the first type optical fiber sensor and the center line of the monitored pavement is a second preset angle.
In a fourth aspect, an embodiment of the present application provides an apparatus for determining a sensor deployment position, where the apparatus includes:
the acquisition module is used for acquiring the road surface structure type of the monitored road surface;
the determining module is used for determining a first layout position of the first type optical fiber sensor according to the road surface structure type of the monitored road surface; for laying out the first type of fibre-optic sensor according to the first laying position; and the included angle between the first type optical fiber sensor and the central line of the monitored road surface is a preset angle.
In a fifth aspect, an embodiment of the present application provides a device for determining a sensor arrangement position, where the device includes:
a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the method of determining a sensor deployment position as described in the second aspect and optional second aspect.
In a sixth aspect, the present application provides a computer storage medium having computer program instructions stored thereon, where the computer program instructions, when executed by a processor, implement the method for determining the sensor arrangement position according to the second aspect and the optional embodiments of the second aspect.
The embodiment of the application provides a pavement monitoring system, a method, a device and equipment for determining the layout positions of sensors, and in the technical scheme of the application, the pavement monitoring system can comprise a plurality of monitoring subsystems, each monitoring subsystem is composed of a plurality of monitoring units, each monitoring unit comprises a plurality of different types of optical fiber sensors, wherein the first type of optical fiber sensors can be the pavement structure type of the monitored pavement, and the layout of the positions is carried out according to a preset angle. The form of laying according to certain angle slant is adopted, can compromise the monitoring to the horizontal and the relevant state in vertical road surface on monitoring road surface, simultaneously, in every monitoring unit, with a plurality of second type optical fiber sensor of first type optical fiber sensor matched with laying, can comparatively comprehensive accurate monitoring road surface inside stress strain and so on state. Therefore, according to the scheme of the application, the accuracy and effectiveness of monitoring the health state of the road surface can be improved through reasonable layout of various optical fiber sensors in the system.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of a roadway monitoring system 100 provided in an embodiment of the present application;
FIG. 2 is a schematic view of a roadway monitoring system 200 provided in an embodiment of the present application;
FIG. 3 is a schematic flow chart diagram of a method for determining the deployment location of a sensor according to an embodiment of the present application;
FIG. 4 is a schematic flow chart diagram of a method for determining the deployment location of a sensor according to an embodiment of the present application;
FIG. 5 is a schematic flow chart for determining a second layout position of a second type of optical fiber sensor according to an embodiment of the present application;
fig. 6 is a schematic view of an application scenario of a road surface monitoring system according to an embodiment of the present application;
FIG. 7 is a schematic diagram illustrating the relationship between devices in a roadway monitoring system according to an embodiment of the present disclosure;
FIG. 8 is a schematic diagram of a process for preprocessing monitoring data according to an embodiment of the present application;
FIG. 9 is a schematic structural diagram of a sensor layout position determining apparatus according to another embodiment of the present application;
fig. 10 is a hardware configuration diagram of a device for determining a sensor layout position according to some embodiments of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Generally, in the process of building and using, the road structure is affected by environmental factors, vehicle loads and other effects, and the performance of the material is continuously decayed and degraded, so that the structure is inevitably damaged and degraded to different degrees, the service life of the road structure is further shortened, and the driving comfort and the safety are affected. Therefore, advanced sensing technology, communication technology and identification algorithm are required to be adopted to monitor and detect the health state of the road structure accurately and efficiently in real time. On one hand, early warning can be provided for the abnormal state of the structure through the monitoring of the road surface health state, and the maintenance and repair of the structure are guided. On the other hand, the monitored road surface structure health data can serve for the design and construction of a road structure, and the research of a road design theory is further promoted.
However, the existing road surface monitoring system still has some defects, for example, the problems that the layout of devices such as sensing devices in the system is unreasonable, the real-time monitoring for large-scale roads cannot be better performed, and the like, influence the effectiveness of the whole monitoring system to a certain extent, and reduce the accuracy and effectiveness of monitoring the health state of the road surface.
In order to solve the prior art problems, embodiments of the present application provide a road surface monitoring system, a method, an apparatus, a device, and a computer storage medium for determining a sensor layout position.
The following describes in detail a road surface monitoring system, a method, an apparatus, a device, and a computer storage medium for determining a sensor arrangement position according to an embodiment of the present application with reference to the drawings. It should be noted that these examples are not intended to limit the scope of the present disclosure.
First, a road surface monitoring system provided in the embodiment of the present application will be described. Referring to fig. 1, fig. 1 is a schematic view of a road surface monitoring system 100 according to some embodiments of the present disclosure. As shown in fig. 1, in the embodiment of the present application, the road surface monitoring system 100 may specifically include: a plurality of monitoring subsystems 101.
Each monitoring subsystem 101 may include a plurality of monitoring units 102.
Each monitoring unit 102 includes: a plurality of first type optical fiber sensors 103 and a plurality of second type optical fiber sensors 104, wherein the plurality of first type optical fiber sensors 103 are connected with the optical cable (not shown in the figure) after being connected in series, and the plurality of second type optical fiber sensors are connected with the optical cable (not shown in the figure) after being connected in series or in parallel.
The first type optical fiber sensor 103 is arranged at a first arrangement position of the monitored road surface, the first arrangement position is determined according to the obtained road surface structure type of the monitored road surface, and an included angle between the first type optical fiber sensor 103 and a central line of the monitored road surface is a preset angle.
In some embodiments of the present application, the length of the road segment corresponding to the monitored road surface of the monitoring subsystem 101 may range from 1 km to 10 km. The coverage area of the corresponding monitored road surface of the monitoring subsystem 101 in the cross section may be all lanes of the monitored road surface, for example, 1 to 3 lanes may be covered. It is understood that, in practical applications, the road length range and the coverage area on the cross section corresponding to the monitoring subsystem 101 may be selected according to practical requirements.
In the monitoring subsystem 101, the length of the road section corresponding to the monitored road surface of each monitoring unit may be in a range of 20 meters to 100 meters.
In some embodiments of the present application, the monitoring subsystem 101 may contain 5 to 10 monitoring units and 1 to 5 fiber optic cables. The optical cable may be embedded inside a shoulder or a side slope to a predetermined depth, for example, a depth of 5 cm to 30 cm.
In this embodiment, the road surface monitoring system may include a plurality of monitoring subsystems, each monitoring subsystem is composed of a plurality of monitoring units, each monitoring unit includes a plurality of optical fiber sensors of different types, wherein the first type optical fiber sensor may be a road surface structure type combined with a monitored road surface, and the position of the first type optical fiber sensor is arranged according to a preset angle. The form of obliquely arranging according to a certain angle is adopted, and the monitoring of the related states of the transverse and longitudinal road surfaces of the road surface, such as the cracking state of the road surface and the like, can be considered. Meanwhile, in each monitoring unit, a plurality of second type optical fiber sensors are arranged in a way of being matched with the first type optical fiber sensors, so that various states of the road surface can be monitored comprehensively and accurately. Therefore, according to the scheme of the application, the accuracy and effectiveness of monitoring the health state of the road surface can be improved through reasonable layout of various optical fiber sensors in the system.
In some embodiments of the present application, as shown in FIG. 2, FIG. 2 is a schematic view of a roadway monitoring system 200 provided in other embodiments of the present application. Each monitoring subsystem 101 in the road surface monitoring system 200 includes, in addition to the devices in the road surface monitoring system 100, the following devices:
the system comprises a road side sensing data acquisition device 201, a sensing data edge calculation device 202 and a road side wireless transmission device 203. The above-mentioned devices are connected by optical cables (not shown in the figure).
The roadside sensing data acquisition device 201, the sensing data edge calculation device 202 and the roadside wireless transmission device 203 may be arranged at a hard shoulder of the monitored road section or outside the shoulder.
In the embodiment of the application, 1 to 2 roadside sensing data acquisition devices, 1 to 2 sensing data edge calculation devices 202 and 1 roadside wireless transmission device 203 may be arranged in each monitoring subsystem.
The roadside sensing data acquisition device 201 may be configured to acquire monitoring data acquired by each monitoring unit.
Specifically, the roadside sensing data acquisition device 201 may be connected to each monitoring unit through an optical cable, and may acquire monitoring data acquired by each monitoring unit transmitted through the optical cable in real time.
Roadside sensing data acquisition equipment may specifically include: small computer, fiber grating demodulation equipment, distributed fiber demodulation equipment and the like.
The sensing data edge calculation device 202 may be configured to perform preprocessing on the monitoring data acquired by the roadside sensing data acquisition device.
Optionally, after the roadside sensing data acquisition device acquires the monitoring data, the monitoring data may be transmitted to the sensing data edge calculation device 202. The sensing data edge computing device 202 can preprocess the monitoring data in real time so as to filter and extract effective monitoring data, remove invalid redundant data and greatly reduce the data volume during subsequent processing. In addition, the pre-processed monitoring data may be temporarily stored in a hard disk internal to the sensory data edge computing device 202.
Optionally, the preprocessing of the monitoring data may include processing modes such as data cleaning, signal denoising, signal peak extraction, position information calculation, vibration signal spectrum analysis, and the like.
The roadside wireless transmission device 203 may be configured to transmit the monitoring data processed by the sensing data edge computing device to a monitoring management server of the road surface monitoring system.
Here, the roadside wireless transmission device 203 may be a 5G/4G roadside wireless transmission device. The roadside wireless transmission device 203 may transmit the preprocessing result to a monitoring management server of the road surface monitoring system, and specifically, the monitoring management server may be a cloud platform.
In the embodiment of the present application, each monitoring unit 102 includes: a plurality of first type fibre optic sensors 103 and a plurality of second type fibre optic sensors 104.
The first layout position of the first type optical fiber sensor 103 may be determined according to the acquired road surface structure type of the monitored road surface. The included angle between the first type optical fiber sensor and the central line of the monitored road surface is a preset angle.
Specifically, when the road surface structure type of the monitored road surface is a composite road surface structure, an included angle between the first type optical fiber sensor and a center line of the monitored road surface may be a first preset angle. Here, the road surface cracks of the composite road surface structure are usually represented as transverse cracks, and therefore, in order to better achieve monitoring of the state of the composite road surface structure, a smaller layout angle with respect to the second preset angle may be adopted. For example, the first preset angle may range from 30 degrees to 45 degrees, that is, the first preset angle may be any angle in the range.
When the road surface structure type of the monitored road surface is the filling and digging boundary road surface, the included angle between the first type optical fiber sensor and the center line of the monitored road surface is a second preset angle. Here, the cut-and-fill boundary area is usually represented by a longitudinal crack, and therefore, in order to better monitor the cut-and-fill boundary road surface state, a larger layout angle with respect to the first preset angle may be adopted. For example, the second preset angle may range from 45 degrees to 60 degrees, that is, the second preset angle may be any angle in the range.
In some embodiments of the present application, a plurality of the first type optical fiber sensors are arranged at a preset angle to each lane of the monitored road surface. The embedded depth range of the first type optical fiber sensor is from a first preset depth to a second preset depth. Illustratively, the first type of fiber optic sensor has a buried depth in the range of 2 cm to 5 cm.
In the embodiment of the present application, the first type optical fiber sensor 103 may be a distributed optical fiber sensor. The first type optical fiber sensor 103 may include at least one of a sensor for monitoring a road surface cracking state of the road surface, a deformation state, or a vibration state.
In the embodiment of the present application, the second type optical fiber sensor 104 is disposed at a second layout position of the monitored road surface, and the second layout position may be determined by using a preset algorithm according to the acquired vehicle wheel track transverse distribution characteristic information.
In some embodiments of the present application, the second type of fiber optic sensor 104 may include a first sub-fiber optic sensor and a second sub-fiber optic sensor.
Here, the plurality of first sub optical fiber sensors may be disposed at each lane of the monitored road surface according to the determined second layout position. The plurality of second sub optical fiber sensors are arranged on a hard road shoulder for monitoring the road surface.
In the embodiment of the present application, the burying depth of the second type optical fiber sensor ranges from a third preset depth to a fourth preset depth. For example, the burying depth of the first sub optical fiber sensor may range from 3 cm to 20 cm. The buried depth of the second sub fiber sensor may range from 3 cm to 20 cm.
In the present embodiment, the second type of fiber optic sensor 104 may be a fiber grating sensor. Specifically, the second type optical fiber sensor 104 includes at least one of an acceleration sensor, a strain sensor, a displacement sensor, a temperature sensor, and a humidity sensor.
Illustratively, the first sub optical fiber sensor may include an acceleration sensor, a strain sensor, and the like. The second sub-optical fiber sensor may include a displacement sensor, a temperature sensor, a humidity sensor, and the like.
It can be understood that, in practical application, the distributed optical fiber sensor and the optical fiber grating sensor are embedded as close as possible to the road surface, i.e. the road surface can be better monitored. Typically, the distributed fiber optic sensor has a small diameter, and therefore, a shallow buried depth can be used for the distributed fiber. The diameter of the fiber grating sensor is larger, and is generally larger than 3 cm, so that the fiber grating sensor can adopt a deeper embedding depth.
In summary, in the embodiment of the present application, different types of sensors are integrated into the monitoring unit of the road surface monitoring system and are arranged according to different methods, so as to perform a wide-range monitoring on the monitored road surface in many aspects. The first type optical fiber sensor is obliquely arranged according to a certain angle, and can monitor the transverse and longitudinal cracking states of the monitored road surface. Meanwhile, the arrangement position of the second type optical fiber sensor is determined by analyzing according to the transverse distribution characteristic information of the vehicle wheel track by using a preset algorithm. Stress-strain and other states in the road surface can be monitored more accurately. The various sensors combine together the monitoring to the road surface, can more comprehensively accurate monitoring road surface inside and outside various states. Therefore, according to the scheme of the application, the accuracy and effectiveness of monitoring the health state of the road surface can be improved through reasonable layout of various optical fiber sensors in the system.
In addition, the existing road health state monitoring system is developed for a single or a plurality of measured roads, and the monitoring system facing large-range and full-section monitoring and the corresponding networking technology are rarely considered.
In this embodiment, the road surface monitoring system may include a plurality of monitoring subsystems, and each monitoring subsystem includes a plurality of monitoring units and a corresponding road side sensing data acquisition device, a sensing data edge calculation device, and a road side wireless transmission device. Each monitoring unit comprises a plurality of fiber grating sensors and distributed sensors which are dispersedly arranged on the road surface. The pavement monitoring system is formed based on a step-by-step networking mode, so that the stability of the system can be further ensured, and the robustness of the pavement monitoring system is improved.
And the monitoring subsystems can transmit the collected and preprocessed monitoring data to a monitoring management server of the pavement monitoring system so as to monitor and detect the health state of the pavement accurately and efficiently in real time, provide early warning for the abnormal state of the pavement, guide maintenance and the like of the pavement structure. Therefore, the pavement monitoring system can realize real-time, distributed and large-range monitoring of the pavement structure.
The method aims to reasonably arrange various optical fiber sensors in the pavement monitoring system so as to improve the accuracy and effectiveness of monitoring the health state of the pavement. In the embodiment of the application, a method for determining the layout position of the sensor is also provided. The following describes a method for determining the sensor layout position provided in the embodiment of the present application.
In some embodiments of the present application, as shown in fig. 3, fig. 3 is a schematic flowchart of a method for determining a sensor arrangement position provided in some embodiments of the present application, where the method is applied to arrange sensors in a road surface monitoring system as described in the foregoing embodiments, and the method may be implemented as the following steps:
s301: and acquiring the road surface structure type of the monitored road surface.
S302: and determining a first arrangement position of the first type optical fiber sensor according to the pavement structure type of the monitored pavement, wherein an included angle between the first type optical fiber sensor and a central line of the monitored pavement is a preset angle.
Here, the determined first deployment position may be used for deploying a first type of fiber optic sensor. The first type optical fiber sensors can be arranged according to the preset angle of the included angle between the first type optical fiber sensors and the central line of the monitored road surface.
The method for determining the layout position of the sensor can determine the layout position of the sensor on the monitored road surface, and can monitor the transverse and longitudinal cracking states of the monitored road surface at the same time by adopting a mode of obliquely arranging according to a certain angle so as to improve the accuracy and effectiveness of monitoring the health state of the road surface.
In some embodiments of the present application, as shown in fig. 4, fig. 4 is a schematic flow chart of a method for determining a sensor layout position provided in some embodiments of the present application, where the method for determining a sensor layout position is an extension of the method shown in fig. 3. The method for expanding implementation is applied to laying the sensors in the road surface monitoring system as described in the above embodiment, and may specifically include the following steps:
s401: and acquiring the road surface structure type of the monitored road surface and the vehicle wheel track transverse distribution characteristic information of the lane.
Here, the vehicle transverse distribution characteristic information of the lane may be the transverse distribution characteristic information of the wheel track obtained by the wheel track transverse distribution measuring system. Based on calculation and analysis of the transverse distribution characteristic information of the tracks, the arrangement position of the second type optical fiber sensor can be determined more scientifically and accurately, so that the obtained monitoring data of the road surface is more comprehensive and accurate.
S402: and determining a first arrangement position of a first type optical fiber sensor according to the pavement structure type of the monitored pavement, wherein an included angle between the first type optical fiber sensor and a central line of the monitored pavement is a preset angle.
In particular, the type of the road surface structure of the monitored road surface may include a plurality of different types, and therefore, the first type optical fiber sensor may be provided according to different road surface structure types.
Specifically, when the pavement structure type is a composite pavement structure, an included angle between the first type optical fiber sensor and a center line of the monitored pavement is a first preset angle.
For example, the first preset angle may be any one angle in the range of 30 degrees to 45 degrees.
Specifically, when the road surface structure type is a filling and digging boundary road surface, an included angle between the first type optical fiber sensor and a center line of the monitored road surface is a second preset angle.
For example, the second preset angle may be selected from any one of the angles in the range of 45 degrees to 60 degrees.
S403: and determining a second layout position of the second type of optical fiber sensor by using a preset algorithm according to the transverse distribution characteristic information of the vehicle wheel track.
Fig. 5 is a schematic flow chart for determining the second arrangement position of the second type optical fiber sensor according to an embodiment of the present application, as shown in fig. 5. Here, after the transverse distribution characteristic information of the wheel tracks of the measuring lane is acquired by the transverse distribution measuring system of the wheel tracks, the transverse distribution characteristic information of the wheel tracks may be analyzed and processed by the following steps:
s51: and determining a second layout position according to the type of the second type optical fiber sensor.
S52: and when the second type optical fiber sensor is the first sub-optical fiber sensor, fitting the transverse distribution characteristic information of the vehicle wheel track by using a double-Gaussian distribution algorithm, and calculating to obtain an expected value of double-Gaussian distribution.
S53: and calculating to obtain the target mark position according to the expected value of the double-Gaussian distribution.
S54: and determining a second layout position according to the target mark position and a preset first distance range.
Here, the preset first distance range is a preset maximum distance value from the target mark position in the traveling direction.
Specifically, after the target mark position is determined, a second layout position may be obtained by combining a preset first distance range. Each second deployment location comprises 1 or 2 first sub-fibre sensors. For example, after the target mark position is determined, 1 or 2 first sub optical fiber sensors may be disposed in a range of 5 cm to 10 cm on both sides of the target mark position in the traveling direction.
S55: when the second type of fiber optic sensor is a second sub-fiber optic sensor, determining that the second deployment location includes a hard shoulder.
In particular, when the second type optical fiber sensor is a second sub optical fiber sensor, the second sub optical fiber sensor can be placed at a position of a hard road shoulder of the monitored road surface.
It will be appreciated that when determining the first and second deployment positions based on the above method, the first and second types of fiber optic sensors may be staggered within the same monitoring unit to avoid the problem of possible interference.
In summary, in the embodiments of the present application, different types of sensors are integrated and arranged in the monitoring unit of the road surface monitoring system by the method for determining the arrangement positions of the sensors. The first type optical fiber sensor is obliquely arranged according to a certain angle, and can monitor the transverse and longitudinal cracking states of the monitored road surface at the same time. Meanwhile, the arrangement position of the second type optical fiber sensor is determined by analyzing according to the transverse distribution characteristic information of the vehicle wheel track by using a preset algorithm. Stress-strain and other states in the road surface can be monitored more accurately. The various sensors combine together the monitoring to the road surface, can more comprehensively accurate monitoring road surface inside and outside various states. Therefore, according to the scheme of the application, the accuracy and effectiveness of monitoring the health state of the road surface can be improved through reasonable layout of various optical fiber sensors in the system.
In order to better understand the pavement monitoring system and the method for determining the sensor arrangement position of the present application, the pavement monitoring system in the above embodiment and the method for determining the sensor arrangement position applied to the system will be described in detail with reference to the application example.
Fig. 6 is a schematic view of an application scenario of a road surface monitoring system according to an embodiment of the present application. As shown in fig. 6, the monitored roadway includes lanes, paths, and a central divider. On the monitored road surface, the individual devices or elements of the road surface monitoring system are arranged.
The pavement monitoring system may include a plurality of monitoring subsystems and a remote sensing data cloud platform 11.
As shown in fig. 6, each monitoring subsystem may be 1 to n monitoring subsystems. Each monitoring subsystem may include a plurality of monitoring units, such as monitoring unit 1-1, monitoring unit 1-2, monitoring unit 1-3, … …, monitoring unit n-1, monitoring unit n-2, and monitoring unit n-3.
Each monitoring subsystem further comprises: the system comprises a road side sensing data acquisition device 14, a sensing data edge calculation device 13 and a 5G/4G road side wireless transmission device 12. The road side sensing data acquisition equipment 14, the sensing data edge calculation equipment 13 and the 5G/4G road side wireless transmission equipment 12 can be connected through cables. The roadside sensing data collection equipment 14 may be connected to each monitoring unit through the main optical cable 8.
In particular, the main cable 8 may be a multi-core armored cable, the number of cores being typically above 4 cores.
Each monitoring unit comprises a plurality of fibre optic sensors of a first type and a plurality of fibre optic sensors of a second type.
Specifically, the first type optical fiber sensor may be a distributed optical fiber sensor 9, and a plurality of the first type optical fiber sensors are connected in series through the optical cable 6 and then connected with the main optical cable 8.
The plurality of second type fiber optic sensors may be fiber grating sensors including an acceleration sensor 1, a strain sensor 2, a displacement sensor 3, a temperature sensor 4 and a humidity sensor 5. The second type of optical fiber sensor is connected with a main optical cable 8 through optical cables 6 in series or in parallel, and specifically can be connected with the main optical cable 8 through a main optical cable connection joint 7.
Alternatively, the optical cable connected between the optical fiber sensors may adopt an armored single mode optical cable. The first type of fibre optic sensor and the second type of fibre optic sensor may both be buried sensing devices.
Alternatively, the first type optical fiber sensor and the second type optical fiber sensor may be position-arranged by the determination method of the sensor arrangement position in the above-described embodiment.
The first layout position of the first type of optical fiber sensor, i.e. the distributed optical fiber sensor, can be determined according to the type of the pavement structure of the monitored pavement. The included angle between the distributed optical fiber sensor and the central line of the monitored road surface is a preset angle.
When the pavement structure type is a composite pavement structure, the included angle between the distributed optical fiber sensor and the central line of the monitored pavement is a first preset angle. The first predetermined angle may be any one selected from a range of 30 degrees to 45 degrees. When the road surface structure type is the filling and digging boundary road surface, the included angle between the distributed optical fiber sensor and the center line of the monitored road surface is a second preset angle. The second predetermined angle may be any one selected from a range of 45 degrees to 60 degrees.
Alternatively, the buried depth of the distributed fibre optic sensor may be between 2 cm and 5 cm. The concrete method can be used for embedding by adopting a slotting, fixing, epoxy resin fixing and asphalt mortar filling mode.
And for the second type of optical fiber sensor, namely the second arrangement position of the optical fiber grating sensor, the second arrangement position can be determined by utilizing a preset algorithm according to the transverse distribution characteristic information of the wheel tracks of the vehicle.
Optionally, when the monitored object of the fiber grating sensor is acceleration or strain, the arrangement position of the covered lane can be determined by using a preset algorithm according to the transverse distribution characteristic information of the vehicle wheel track, the embedding depth can be 3 cm to 20 cm, and the embedding can be specifically carried out according to the processes of slotting, fixing, epoxy resin fixing and asphalt mortar filling.
Optionally, when the monitored object of the fiber grating sensor is displacement, temperature, and humidity, the fiber grating sensor may be disposed at a hard road shoulder or a road shoulder, and the embedding depth may be 3 cm to 50 cm, and similarly, the fiber grating sensor may be embedded according to the processes of slotting, fixing, epoxy resin fixing, asphalt mortar filling, or may be embedded by punching from the side of the soil subgrade.
In the embodiment of the application, the road surface monitoring system can be divided into the monitoring units and the monitoring subsystems step by step.
The monitoring unit comprises a distributed optical fiber sensor and an optical fiber grating sensor.
In the embodiment of the application, for the arrangement of the distributed optical fiber sensors in each monitoring unit, the road section length of the monitored road surface of 20 meters to 100 meters can be covered, and the coverage range on the cross section can be determined according to the number of lanes and the cross section design of the actual measured road section, for example, 1 to 3 lanes are covered.
In the embodiment of the present application, for the arrangement of the fiber grating sensors in each monitoring unit, the coverage area in the cross section can be determined according to the number of lanes and the cross section design of the actual measured road section, for example, covering 1 to 3 lanes and 1 hard shoulder.
It is understood that the monitoring unit can arrange the fiber grating sensor and the distributed fiber sensor at the same time, and in particular, the fiber grating sensor and the distributed fiber sensor can be arranged in a staggered manner by using the sensor arrangement method in the above-mentioned embodiment.
In the embodiment of the present application, the monitoring subsystem may include 5 to 10 monitoring units and 1 to 5 main optical cables, and the main optical cables may be embedded inside a road shoulder or a side slope, and the embedding depth may be 5 cm to 30 cm. The monitoring units in the monitoring subsystem are connected in series or in parallel by optical cables, and are finally connected with the main optical cable by adopting a hot welding or cold welding mode.
In the embodiment of the application, the monitoring subsystem further comprises edge computing equipment configured with 1 to 2 sensing data, 1 to 2 road side sensing data acquisition equipment and 1 road side wireless transmission equipment configured with 5G/4G. The sensing data edge calculation equipment, the road side sensing data acquisition equipment and the 5G/4G road side wireless transmission equipment can be arranged outside the hard road shoulder.
In the embodiment of the application, the pavement monitoring system can at least comprise one monitoring subsystem, and the monitoring data of each monitoring subsystem after acquisition and preprocessing can be sent to a monitoring management server of the pavement monitoring system, namely, a monitoring data cloud platform, and is analyzed, integrated, stored and issued in the monitoring data cloud platform.
As shown in fig. 7, fig. 7 is a schematic diagram of the relationship between the devices in the road surface monitoring system according to some embodiments of the present disclosure. Firstly, the roadside sensing data acquisition equipment can acquire monitoring data transmitted by the transmission optical cable in real time. The monitoring data may be monitored in real time by the embedded sensor device. The embedded sensor device comprises a fiber grating sensor and a distributed fiber sensor. The fiber grating sensor comprises an acceleration sensor, a strain sensor, a displacement sensor, a temperature sensor and a humidity sensor, and the distributed fiber grating sensor is used for monitoring the cracking state, the deformation state and the vibration state of the road surface. The roadside sensing data acquisition equipment can comprise a small computer, fiber bragg grating demodulation equipment and distributed fiber demodulation equipment, and monitoring data are stored in an internal memory of the small computer in real time.
And then, the sensing data edge computing equipment is used for preprocessing the monitoring data in real time and temporarily storing the preprocessed data in an internal hard disk. Because the data volume of the optical fiber sensing system is very huge, the data is preprocessed and analyzed through the sensing data edge computing equipment, effective data can be screened and uploaded to the sensing data cloud platform, and the data volume of subsequent processing is reduced.
Here, the flow of preprocessing is shown in fig. 8, and fig. 8 is a schematic diagram of a process of preprocessing monitoring data according to some embodiments of the present application. The pretreatment may include: data cleaning, signal denoising, signal peak value extraction, position information calculation, vibration signal spectrum analysis and the like.
First, raw sensing data, i.e., monitoring data, is acquired. On one hand, aiming at the fiber grating sensor, data in an invalid time period is screened out by adopting data cleaning; then, according to the noise type, noise caused by various environmental factors is removed by adopting denoising methods such as wavelet denoising, median filtering and the like; and finally, various actually measured physical quantities can be obtained by extracting the peak value of the processed signal and according to the relation between the measured value of the fiber bragg grating sensor and the peak value.
On the other hand, for the distributed optical fiber sensor, data cleaning and signal denoising are adopted, and finally, the measured physical quantity and the corresponding position information are obtained through peak value extraction, and for the distributed optical fiber vibration sensor, signal spectrum analysis can be carried out in edge calculation.
And finally, transmitting the preprocessing result to a monitoring management server of the pavement monitoring system through 5G/4G road side wireless transmission equipment, namely a sensing data cloud platform. The sensing data cloud platform can comprise a plurality of GPUs, CPUs, hard disk storage and visualization terminals, so that real-time analysis and processing of a large amount of sensing data can be conveniently achieved. Wherein, the real-time analysis of the sensing data comprises the following steps: estimation of road surface diseases, analysis and calculation of road surface structure performance, treatment strategy analysis of road surface diseases and the like. And finally, obtaining relevant information of the road structure health state, storing the information in a hard disk, and issuing the information at a visual terminal.
In summary, in the embodiment of the present application, different types of sensors are integrated in the monitoring unit of the road surface monitoring system and are arranged according to different methods, so as to perform a wide-range monitoring on the monitored road surface in many aspects. The first type optical fiber sensor is obliquely arranged according to a certain angle, and can monitor the transverse and longitudinal cracking states of the monitored road surface. Meanwhile, the arrangement position of the second type optical fiber sensor is determined by analyzing according to the transverse distribution characteristic information of the vehicle wheel track by using a preset algorithm. Stress-strain and other states in the road surface can be monitored more accurately. The various sensors combine together the monitoring to the road surface, can more comprehensively accurate monitoring road surface inside and outside various states. Therefore, according to the scheme of the application, the accuracy and effectiveness of monitoring the health state of the road surface can be improved through reasonable layout of various optical fiber sensors in the system.
In addition, in the embodiment of the application, the road surface monitoring system may include a plurality of monitoring subsystems, each monitoring subsystem is composed of a plurality of monitoring units and corresponding road side sensing data acquisition devices, sensing data edge calculation devices and road side wireless transmission devices. Each monitoring unit comprises a plurality of fiber grating sensors and distributed sensors which are dispersedly arranged on the road surface. The pavement monitoring system is formed based on a step-by-step networking mode, so that the stability of the system can be further ensured, and the robustness of the pavement monitoring system is improved.
And the monitoring subsystems can transmit the collected and preprocessed monitoring data to a monitoring management server of the pavement monitoring system so as to monitor and detect the health state of the pavement accurately and efficiently in real time, provide early warning for the abnormal state of the pavement, guide maintenance and the like of the pavement structure. Therefore, the pavement monitoring system can realize real-time, distributed and large-range monitoring of the pavement structure.
Based on the method for determining the sensor layout position provided in the above embodiment, accordingly, the present application also provides a specific implementation manner of the device for determining the sensor layout position. Please see the examples below.
In an embodiment of the present application, as shown in fig. 9, fig. 9 is a schematic structural diagram of a device for determining a sensor arrangement position according to another embodiment of the present application, where the device for determining a sensor arrangement position specifically includes:
an obtaining module 901, configured to obtain a road surface structure type of a monitored road surface;
the determining module 902 is configured to determine a first layout position of the first type optical fiber sensor according to a road surface structure type of a monitored road surface; the optical fiber monitoring system is used for laying the first type optical fiber sensors according to the first laying position, and an included angle between the first type optical fiber sensors and a central line of the monitored road surface is a preset angle.
Optionally, the device for determining the sensor layout position is further configured to acquire vehicle wheel track transverse distribution characteristic information of a lane of the monitored road surface; and determining a second layout position of the second type optical fiber sensor by using a preset algorithm according to the transverse distribution characteristic information of the vehicle wheel track.
Optionally, each module/unit in the apparatus shown in fig. 9 has a function of implementing each step in the methods shown in fig. 3, fig. 4, and fig. 5, and can achieve the corresponding technical effect, and for brevity, no further description is provided herein.
In summary, the device for determining the sensor layout position in the embodiment of the present application can be used for executing the method for determining the sensor layout position in the above embodiments, and through adopting the form of obliquely laying according to a certain angle, the device can monitor the horizontal and vertical cracking states of the monitored road surface at the same time, so as to improve the accuracy and effectiveness of monitoring the health state of the road surface.
Based on the method for determining the sensor layout position provided by the embodiment, correspondingly, the application further provides a specific implementation manner of the device for determining the sensor layout position. Please see the examples below.
Fig. 10 is a hardware configuration diagram of the device for determining the sensor layout position according to the embodiment of the present application.
The sensor placement location determining device may include a processor 1001 and a memory 1002 having computer program instructions stored therein.
Specifically, the processor 1001 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The processor 1001 realizes the determination method of the sensor arrangement position in any of the above-described embodiments by reading and executing computer program instructions stored in the memory 1002.
In one example, the device for determining the sensor layout position may further include a communication interface 1003 and a bus 1010. As shown in fig. 10, the processor 1001, the memory 1002, and the communication interface 1003 are connected to each other via a bus 1010 to complete communication therebetween.
The communication interface 1003 is mainly used for implementing communication between modules, apparatuses, units and/or devices in this embodiment.
The bus 1010 includes hardware, software, or both to couple the components of the device for determining the sensor placement position to each other. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 1010 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
The sensor layout position determination device may execute the sensor layout position determination method in the embodiment of the present application, thereby implementing the sensor layout position determination method described in conjunction with fig. 3 to 5.
In addition, in combination with the method for determining the sensor layout position in the foregoing embodiments, the embodiments of the present application may be implemented by providing a computer storage medium. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement the method for determining the sensor layout position in any of the above embodiments.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (17)
1. A roadway monitoring system, the system comprising a plurality of monitoring subsystems, each monitoring subsystem comprising a plurality of monitoring units;
each of the monitoring units includes: the optical fiber sensors of the first type are connected with the optical cable after being connected in series, and the optical fiber sensors of the second type are connected with the optical cable after being connected in series or in parallel;
the first type optical fiber sensor is arranged at a first arrangement position of the monitored road surface, the first arrangement position is determined according to the obtained road surface structure type of the monitored road surface, and an included angle between the first type optical fiber sensor and a central line of the monitored road surface is a preset angle.
2. The system of claim 1, wherein the second type of optical fiber sensor is disposed at a second deployment location of the monitored road surface, and the second deployment location is determined by using a preset algorithm according to the acquired lateral distribution characteristic information of the vehicle wheel track.
3. The system of claim 2, wherein each of the monitoring subsystems further comprises: the system comprises road side sensing data acquisition equipment, sensing data edge calculation equipment and road side wireless transmission equipment;
the roadside sensing data acquisition equipment is used for acquiring monitoring data acquired by each monitoring unit;
the sensing data edge calculation equipment is used for preprocessing the monitoring data acquired by the road side sensing data acquisition equipment;
and the road side wireless transmission equipment is used for transmitting the monitoring data processed by the sensing data edge computing equipment to a monitoring management server of the road surface monitoring system.
4. The system of claim 1,
when the pavement structure type is a composite pavement structure, an included angle between the first type optical fiber sensor and a central line of the monitored pavement is a first preset angle;
when the pavement structure type is a filling and digging boundary pavement, the included angle between the first type optical fiber sensor and the center line of the monitored pavement is a second preset angle.
5. The system of claim 2,
the first type of optical fiber sensor comprises a sensor for monitoring at least one of a road surface cracking state, a deformation state and a vibration state of a road surface;
the second type optical fiber sensor comprises at least one of an acceleration sensor, a strain sensor, a displacement sensor, a temperature sensor and a humidity sensor;
wherein the first type of fiber optic sensor is a distributed fiber optic sensor; the second type of fiber optic sensor is a fiber grating sensor.
6. The system of claim 2,
the embedding depth range of the first type optical fiber sensor is from a first preset depth to a second preset depth;
the embedding depth range of the second type optical fiber sensor is from a third preset depth to a fourth preset depth.
7. The system of claim 2, wherein the second type of fiber optic sensor comprises a first sub-fiber optic sensor and a second sub-fiber optic sensor;
a plurality of the first sub optical fiber sensors are arranged at each lane of the monitored road surface;
and a plurality of second sub optical fiber sensors are arranged on a hard road shoulder of the monitored road surface.
8. The system of claim 1, wherein a plurality of said first type of fiber optic sensors are disposed for each lane of said monitored roadway.
9. A method for determining the sensor layout position, which is applied to determine the layout position of the sensor in the road surface monitoring system according to any one of claims 1 to 8, the method comprising:
acquiring the road surface structure type of a monitored road surface;
determining a first layout position of a first type optical fiber sensor according to the pavement structure type of the monitored pavement; the optical fiber monitoring system is used for laying the first type optical fiber sensors according to the first laying position, and an included angle between the first type optical fiber sensors and a central line of the monitored road surface is a preset angle.
10. The method of claim 9, further comprising:
acquiring vehicle wheel track transverse distribution characteristic information of a lane of a monitored road surface;
and determining a second layout position of the second type optical fiber sensor by using a preset algorithm according to the transverse distribution characteristic information of the vehicle wheel track.
11. The method according to claim 10, wherein the determining the second layout position of the second type of optical fiber sensor by using a preset algorithm according to the vehicle wheel track lateral distribution characteristic information comprises:
when the second type optical fiber sensor is a first sub optical fiber sensor, fitting the transverse distribution characteristic information of the vehicle wheel track by using a double-Gaussian distribution algorithm, and calculating to obtain an expected value of double-Gaussian distribution;
calculating to obtain a target mark position according to the expected value of the double-Gaussian distribution;
determining the second layout position according to the target mark position and a preset first distance range; wherein the content of the first and second substances,
the preset first distance range is a preset maximum distance value from the target mark position along the driving direction.
12. The method of claim 11, wherein each of the second deployment locations includes 1 or 2 first sub-fiber sensors.
13. The method according to claim 10, wherein the determining the second layout position of the second type of optical fiber sensor by using a preset algorithm according to the vehicle wheel track lateral distribution characteristic information comprises:
and when the second type optical fiber sensor is a second sub optical fiber sensor, determining that the second layout position comprises a hard road shoulder.
14. The method of claim 9,
when the pavement structure type is a composite pavement structure, an included angle between the first type optical fiber sensor and a central line of the monitored pavement is a first preset angle;
when the pavement structure type is a filling and digging boundary pavement, the included angle between the first type optical fiber sensor and the center line of the monitored pavement is a second preset angle.
15. An apparatus for determining a sensor deployment position, the apparatus comprising:
the acquisition module is used for acquiring the road surface structure type of the monitored road surface;
the determining module is used for determining a first layout position of the first type optical fiber sensor according to the road surface structure type of the monitored road surface; for laying out the first type of fibre-optic sensor according to the first laying position; and the included angle between the first type optical fiber sensor and the central line of the monitored road surface is a preset angle.
16. An apparatus for determining a sensor placement position, the apparatus comprising: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the method of determining a sensor deployment position of any of claims 9 to 14.
17. A computer storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method of determining a sensor deployment position of any one of claims 9 to 14.
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| CN114964459A (en) * | 2022-04-14 | 2022-08-30 | 同济大学 | Real-time positioning and speed measuring system and method for vehicle wheel tracks |
| CN116879499A (en) * | 2023-06-21 | 2023-10-13 | 清华大学 | Method and device for determining road sensor layout position and computer equipment |
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| CN116879499A (en) * | 2023-06-21 | 2023-10-13 | 清华大学 | Method and device for determining road sensor layout position and computer equipment |
| CN116879499B (en) * | 2023-06-21 | 2024-02-13 | 清华大学 | Method and device for determining road sensor layout position and computer equipment |
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