AU2020102912A4 - Device and Method for All-round Precise Recognition of Vehicle Load on the Bridge Deck - Google Patents
Device and Method for All-round Precise Recognition of Vehicle Load on the Bridge Deck Download PDFInfo
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- 238000000034 method Methods 0.000 title abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 31
- 238000001514 detection method Methods 0.000 claims abstract description 21
- 230000033001 locomotion Effects 0.000 claims abstract description 15
- 238000005516 engineering process Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
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- 238000005259 measurement Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
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- 238000007619 statistical method Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
- G01G19/03—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles for weighing during motion
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/02—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles
- G01G19/022—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing wheeled or rolling bodies, e.g. vehicles for weighing wheeled or rolling bodies in motion
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/06—Systems determining position data of a target
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/50—Systems of measurement based on relative movement of target
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/66—Radar-tracking systems; Analogous systems
- G01S13/72—Radar-tracking systems; Analogous systems for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
- G01S13/723—Radar-tracking systems; Analogous systems for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar by using numerical data
- G01S13/726—Multiple target tracking
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/91—Radar or analogous systems specially adapted for specific applications for traffic control
- G01S13/92—Radar or analogous systems specially adapted for specific applications for traffic control for velocity measurement
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Electromagnetism (AREA)
- Traffic Control Systems (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The utility model discloses a device and method for all-round precise recognition of vehicle load on the
bridge deck, and relates to the field of bridge detection, comprising a radar tracking and
positioning system, a weigh-in-motion system and a data processing device. Wherein the radar
tracking and positioning system comprises at least one radar set, the radar set comprises three
radars, and the radars are set on the bridge to collect Type One vehicle data; the weigh-in
motion system is set on the bridge at intervals to collect the Class Two vehicle data, with the
Type One vehicle data and the Type Two vehicle data at least different in some types; the data
processing device is set to collect both the Type One vehicle data and the Type Two vehicle
data which are used for calculating the spatial distribution of vehicle load acting on the bridge
deck at any moment.
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Description
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Device and Method for All-round Precise Recognition of Vehicle Load on the
Bridge Deck
[01] The utility model relates to the field of bridge detection, and more particularly, to a device and method for all-round precise recognition of vehicle load on the bridge deck.
[02] The vehicle load is the main external load borne by the bridge structure, and it is difficult for researchers to accurately acquire the actual vehicle load borne by the structure via the prior art. The main reason is that the vehicle passing through the bridge is influenced by environment, traffic control and the place where the bridge is located, and there is large uncertainty of vehicles passing through the bridge; in addition, the difficulty of obtaining the load distribution of vehicles on the bridge is increased due to the difference of the vehicle type, the vehicle weight, the axle weight and the vehicle speed on the bridge; as a result, the vehicle load model in the Design Code is inconsistent with the load actually borne by the bridge; the uncertainty of the load input leads to difficulty in evaluating the safety condition of the bridge according to structural response monitoring data. Once researchers statistically analyzed the vehicle passing through the bridge to obtain the vehicle load model of the bridge so as to analyze the vehicle load effect. However, only a fixed vehicle load mode is obtained via this method, which can not accurately reflect the vehicle distribution on the bridge under extreme conditions; and the method cannot be integrated with structural real-time response data for analysis, and can not accurately analyze the corresponding relationship between the load of vehicles on the bridge deck and the structural response.
[03] At present, the bridge vehicle load detection technology is mainly divided into the following two types. One technology can, on the basis of weigh-in-motion system, accurately measure the weight and speed of vehicles passing through the bridge deck, and then obtain the load probability distribution model of vehicles on the bridge deck via a statistical analysis method, but the spatial distribution of the vehicles on the bridge deck can not be obtained by the method, and the action trajectory of the vehicle load is hard to control. The other technology refers to obtain the spatial distribution of the vehicle through photos captured by cameras arranged on the bridge deck. However, the weight of the vehicle cannot be accurately obtained via this technology; and due to the limitation of the image recognition technology, the vehicle spatial distribution precision is low, and it's impossible to identify vehicles at night, thus failing to obtain conditions of all vehicles on the bridge decks.
[04] Aiming at the defects in the prior art, the utility model aims at providing a device and method for all-round precise recognition of vehicle load on the bridge deck, which can obtain the spatial distribution of load vehicles acting on the bridge deck at any moment.
[05] In order to achieve the purpose, the technical scheme adopted by the utility model is a device for all-round precise recognition of vehicle load on the bridge deck, comprising:
[06] The radar tracking and positioning system, which at least consists of one radar set, wherein the radar set comprises three radars set on the bridge for collecting Type One vehicle data;
[07] The weigh-in-motion system, which is set on the bridge at intervals to collect the Type Two vehicle data, with the Type One vehicle data and the Type Two vehicle data at least different in some types;
[08] The data processing device, which is respectively connected with the radar tracking and positioning system and the weigh-in-motion system, and is used for receiving the data of the radar tracking and positioning system and the weigh-in-motion system.
[09] On the basis of the technical scheme, the radar tracking and positioning system is used for acquiring data including vehicle flow, average vehicle speed, time headway, vehicle distance, vehicle longitude, vehicle latitude and vehicle speed.
[010] On the basis of the technical scheme, the weigh-in-motion system is used for acquiring data including vehicle speed, gross vehicle weight, vehicle axle weight, vehicle wheel base and vehicle lane distribution.
[011] On the basis of the technical scheme, the radar tracking and positioning system comprises a radar acquisition module which is connected with the radar set and the data processing device.
[012] The utility model also provides a bridge provided with the device, which is characterized in that:
[013] The radar set is arranged on the bridge tower or a street lamp of the bridge;
[014] The two ends of the bridge deck of the bridge are provided with the weigh in-motion system, and the weigh-in-motion system is arranged in a detection area of the radar tracking positioning system.
[015] On the basis of the technical scheme, the three radars in each radar set respectively face two ends of the bridge deck and the bridge deck, and the radar detection areas facing the bridge deck are partially overlapped with the detection areas of the other two radars.
[016] On the basis of the technical scheme, the detection areas of two adjacent radar sets are partially overlapped.
[017] On the basis of the technical scheme, the two ends of the bridge deck are provided with a cabinet, and the cabinet is internally provided with the data processing device.
[018] Compared with the prior art, the utility model has the advantages that:
[019] (1) The device for all-round precise recognition of vehicle load on the bridge deck specified in this utility model comprises a radar tracking and positioning system, a weigh-in-motion system and data processing device, wherein the radar tracking and positioning system and the weigh-in-motion system can collect the Type One vehicle data and Type Two vehicle data respectively, and the data processing device will match and process the data collected by the radar tracking and positioning system and the weigh-in-motion system to obtain the spatial distribution of load vehicles acting on the bridge deck at any moment.
[020] Figure 1 is the front view of a bridge provided with the device for all-round precise recognition of vehicle load on the bridge deck in the embodiment of the utility model;
[021] Figure 2 is the top view of a bridge provided with the device for all-round precise recognition of vehicle load on the bridge deck in the embodiment of the utility model;
[022] Figure 3 is the block diagram of identifying the bridge load distribution in the embodiment of the utility model provided with the device for all-round precise recognition of vehicle load on the bridge deck.
[023] Wherein: 1-radar tracking and positioning system, 11-radar set, 12-radar, 2-weigh-in-motion system, 3-data processing device.
[024] The present utility model will be described in further detail below with reference to the accompanying drawings and embodiments.
[025] Referring to Figure 1 and Figure 2, the embodiment of the utility model provides a device for all-round precise recognition of vehicle load on the bridge deck, which comprises a radar tracking and positioning system 1, a weigh-in-motion system 2 and a data processing device 3.Wherein the radar tracking and positioning system 1 comprises at least one radar set 11, each radar set 11 comprises three radars 12 set on bridge to acquire Type One vehicle data, and the Type One vehicle data at least includes longitude, latitude and speed of vehicles on a bridge deck; the weigh-in-motion system 2 is set on the bridge deck at intervals to acquire Type Two vehicle data, and the Type Two vehicle data at least includes vehicle axle weight, wheel base and speed, with the Type One data and Type Two data different in some types; the data processing device 3 is respectively connected with the radar tracking system 1 and weigh-in-motion system 2, and the data processing device 3 is set for collecting data from both the radar tracking system 1 and weigh-in-motion system 2, namely, the data processing device 3 obtains Type One vehicle data and Type Two vehicle data, and then the data processing device 3 calculates to obtain the vehicle movement track over time according to clock information and the Type One vehicle data, and obtains the spatial distribution of the load vehicles acting on the bridge deck by combining the Type Two vehicle data and the vehicle movement track over time. Wherein, preferably, the data obtained by the radar tracking positioning system 1 includes vehicle flow, occupancy, average vehicle speed, time headway, vehicle distance, vehicle position coordinates and vehicle speed, among which, the occupancy is the ratio of the time when the vehicle flow occupies a lane. The data obtained by the weigh-in-motion system 2 includes vehicle speed, gross vehicle weight, vehicle axle weight, vehicle wheel base and vehicle lane distribution; the radar tracking and positioning system 1 will record vehicle time, lane, speed and real-time position coordinates, while the weigh-in-motion system 2 will record vehicle passing time, lane, speed, wheel base, axle weight and vehicle weight. Later, the data processing device 3 will are matched the detection data collected by the radar tracking and positioning system 1 and the weigh-in-motion system 2 to obtain the spatial distribution of load vehicles acting on the bridge deck at any moment.
[026] The clock information mentioned in this embodiment is the self-contained clock of the radar 12.
[027] Wherein, the radar tracking and positioning system 1 also contains a radar acquisition module, which is connected with the radar set 11 and the data processing device 3. The radar acquisition module is used for integrating and processing the data acquired by the radar set 11 and sending the data to the data processing device 3. The data acquisition of the radar tracking and positioning system 1 and the weigh-in-motion system 2 is synchronous, thus ensuring that the data acquired by the radar tracking and positioning system 1 and the weigh-in-motion system 2 at the same time is the data of the vehicle at the same point, and then guaranteeing the accuracy of the spatial distribution of the load vehicles acting on the bridge deck at any time acquired by the real-time recognition device.
[028] Referring to Figure 1 to Figure 3, the embodiment of the utility model also provides a device for all-round precise recognition of vehicle load on the bridge deck, wherein a radar set 11 is arranged on the bridge tower or the street lamp of the bridge, preferably, three radars 12 contained in each radar set 11 respectively face two ends of the bridge deck and the bridge deck, with the detection area of one radar 12 facing the bridge deck partially overlapped with the detection areas of the other two radars 12, and detection areas of two adjacent radar sets 11 partially overlapped; a weigh-in-motion system 2 is arranged at two ends of the bridge deck, and is arranged in the detection area of the radar tracking positioning system (1); and the data processing device 3 is arranged at two ends of the bridge deck, and is respectively connected with the radar tracking positioning system 1 and the weigh-in-motion system 2.
[029] Wherein, the radar 12 is fixed on the bridge tower or the street lamp through a fixed bracket, so that the radar 12 can be adjusted to be installed at different positions, thus ensuring the detection area of the radar 12 can meet requirements; and the data processing device 3 is arranged in a cabinet, and the cabinet is arranged at two ends of the bridge deck, which can protect the data processing device 3, and prevent the structure of the data processing device 3 from being damaged due to exposure of the data processing device 3, thus extending the service life of the data processing device 3.
[030] Referring to Figure 1 to Figure 3, the embodiment of the utility model also provides a bridge load distribution recognition method using the device, which comprises the following steps:
[031] Si. Set the radar tracking and positioning system 1 on the bridge tower or the street lamp of the bridge to be monitored, and the weigh-in-motion system 2 and the data processing device 3 at two ends of the bridge deck of the bridge to be monitored;
[032] S2. Calculate the vehicle movement track over time according to the clock information as well as the longitude, the latitude and the speed of the vehicle on the bridge deck detected by the radar set 11; when the vehicle passes through the weigh-in motion system 2, the weigh-in-motion system 2 will record the axle weight, the wheel base and the speed information of the vehicle, and match it with data detected by the radar tracking and positioning system 1 based on the vehicle speed, and attach the axle weight and the wheel base information measured by the weigh-in-motion system 2 to the corresponding vehicle; wherein, match the vehicle speed with data detected by the radar tracking and positioning system 1 based on the same lane. The vehicle measured by the weigh-in-motion system 2 and the vehicle with the speed closest to that measured by the radar tracking and positioning system 1 are the same target vehicle, thus achieving the matching of vehicles detected by the weigh-in-motion system 2 and the radar tracking and positioning system 1,
[033] S3. Taking the end part of the bridge at one side as the origin of the coordinate system, repeat the step S2, draw the movement track of each vehicle on the bridge deck, obtain the vehicle weight, the axle weight and the wheel base information of each vehicle, grasp the longitude and the latitude of the vehicle on the bridge deck at any time, and obtain the spatial distribution of the load vehicles acting on the bridge deck at any time.
[034] The radar tracking and positioning system 1 and the weigh-in-motion system 2 can be respectively debugged and calibrated when being arranged, and the radar tracking and positioning system 1 is debugged to ensure that a detection area of the radar tracking and positioning system 1 can cover the full length of a bridge and the installation range of the weigh-in-motion system 2, and cover all lanes on the bridge; and the weigh-in-motion system 2 is calibrated to ensure the accuracy of vehicle weighing and speed measurement.
[035] Steps of obtaining the vehicle movement track based on the radar set 11 in S2 are as below: when a vehicle enters into the detection range of a radar 12, this radar will record longitude, latitude and speed information of the vehicle; when the vehicle enters the next detection rage of the adjacent radar 12 after the first radar 12, time, longitude and latitude of the vehicle collected by the two adjacent radars 12 will be associated and matched to realize information transmission of the vehicle between the adjacent radars 12; and a continuous movement track of the vehicle on a bridge deck over time can be calculated on the base of data calculation on a plurality of radars 12. Preferably, when the vehicle enters the detection range of radar 12, this radar will record time, lane, vehicle speed, and longitude and latitude information of the vehicle.
[036] Referring to Figure 3, in this embodiment, steps of calculating the continuous movement track of the vehicle on the bridge deck associated to time based on the data of the plurality of radars 12 in step S2 are as below.
[037] S2.1. The data processing device 3 carries out data space-time alignment processing on Type One vehicle data, wherein each radar 12 in the radar tracking and positioning system 1 can independently work, and each radar 12 has independent data parameters and scanning periods. In order to transform all the radar data into a consistent space coordinate system to realize space alignment, transformation formula is as follows:
[038] Wherein, x and y are the rectangular coordinates of the target, X and P respectively represents the longitude, Xo, o and latitude of the target vehicle, and H respectively represents the longitude, latitude and altitude of the corresponding radar 12, and R is the radius of the earth;
[039] S2.2. The data processing device 3 unifies the Type One vehicle data acquired by different radars 12 on the same target vehicle to the same time coordinate axis by following the below steps: firstly, realize the systematical time alignment of each radar 12 in the system through hardware, namely, carry out synchronization operation; then, obtain independent curve equations of the Type One vehicle data acquired by a plurality of radars 12 through a function approximation method; and calculate the Type One vehicle data acquired by the radars 12 at any moment through the equations, namely, realize the time alignment of a plurality of radars, with the functional expression for time alignment of multiple radars as follows:
[040] Wherein, t, tl and t2 are time points of each radar 12 acquiring Type One vehicle data from a target vehicle, y0, yl and y2 respectively corresponds to the spatial positions of t, t Iand t2, t refers to a random time point, fl(t) refers to an approximation function and corresponds to the spatial position of t. A continuous fitting curve can be obtained through known y0, yl and y2 and corresponding t, tl and t2, as well as the spatial position at any time point and the Type One vehicle data acquired by the radar at the time point thus aligning the time of the radar;
[041] S2.3. Calculate the correlation coefficient to associate the target among the multiple radars, with the calculation formula of the correlation coefficient as follows:
[042] Wherein x il, x i2, xi3 and x i4 are respectively coordinates and speed components of a target vehicle on X axis and Y axis of one radar, x jl, x j2, x j3 and x j4 are respectively coordinates and speed components of the target vehicle on the X axis and the Y axis of the other radar. Comparing the y ij obtained by calculation with a coefficient preset to be 0.95, when 7 ij >0.95, the data collected by the two radars belongs to the same target vehicle, and then associate the coordinates of the target vehicle according to the Type One vehicle data collected by two radars, namely, associate the coordinates of movement track of the target vehicle. Wherein, since the coordinates of the target vehicle obtained by each radar are continuous coordinates, representing the movement track of the target vehicle within the Type One vehicle data collected by this radar; when 7 ij <0.95 the data collected by the two radars belongs to different target vehicles, and there is no need to associate them;
[043] S2.4. After time alignment, space alignment and movement track correlation are completed, combine all the Type One vehicle data collected by a plurality of independent radars for calculating the continuous movement track of the vehicle on the bridge.
[044] Wherein, x k and y k respectively represent coordinates of the combined target on the X axis and the Y axis, x i, k, y i and k respectively represent coordinate axis of the target reported on the X axis and the Y axis at the moment k of the ithradar, wherein the radar on the bridge is marked as 1, 2, 3... i;
[045] S2.5. After calculating the combination of the movement track, the continuous space coordinate of the vehicle on the bridge deck is obtained, with the expression as follows:
[046] COR m =[X m,Y m]
[047] Wherein, COR m is the coordinate of the target vehicle m on the bridge deck, and X m and Y m are the coordinates of the X axis and the Y axis, respectively.
[048] Wherein, the reason of time alignment is mainly because the radar has a certain scanning period. Assumed that the scanning period is 3s, the time capturing targets by different radars varies. After completing the time alignment, the starting point of the time is 0, if one radar capturing the target for the first time is at OOms, the second time at 31OOms, and the third time at 61OOms; while the other radar capturing the target for the first time is at 200ms, the second time at 3200ms and the third time at 6200ms. According to the above data, the data scanned by the radar is discrete data, failing to be unified into one timeline. By applying the functional approximation method, we can, under the premise with the 3 time points capturing the target known, fit a continuous curve to obtain data at any moment and thus align the time of all radars.
[049] In Figure 3, the radar marked from 1, 2 to N means different radars, wherein the weigh-in-motion system record information of vehicles to and from with one direction is defined as to and the other direction as from because the bridge is accessible in two directions.
[050] Wherein the data acquisition of the radar tracking positioning system 1 and the weigh-in-motion system 2 is synchronized.
[051] In S2 preferably, when the vehicle passes through the weigh-in-motion system 2, information about the passing time, the lane, the vehicle speed, the vehicle weight, the axle weight, the wheel base and the speed of the vehicle will be recorded, and then matched with data detected by the radar tracking and positioning system 1 according to vehicle passing time and vehicle speed.
[052] After calculating data collected by multiple radars. the information of the axle weight, the wheel base and the vehicle speed of the target vehicle acquired by the weigh-in-motion system will be loaded on the known bridge deck coordinates of the target vehicle, so that the load action of vehicle on the bridge deck can be accurately obtained, with the vehicle speed information applicable for statistics of vehicle flow on the bridge deck.
[053] The device and method for all-round precise recognition of vehicle load on the bridge deck of the embodiment are also suitable for vehicle load all-around real time accurate recognition of beam bridges, arch bridges and suspension bridges, and are different from each other in that the number and the arrangement mode of the radar antennas, and will not explained here.
[054] Although the invention has been described with reference to specific examples, it will be appreciated by those skilled in the art that the invention may be embodied in many other forms, in keeping with the broad principles and the spirit of the invention described herein.
[055] The present invention and the described embodiments specifically include the best method known to the applicant of performing the invention. The present invention and the described preferred embodiments specifically include at least one feature that is industrially applicable
Claims (8)
1. A device for all-round precise recognition of vehicle load on the bridge deck, which is characterized by comprising:
A radar tracking and positioning system (1), the radar tracking and positioning system (1) comprises at least one radar set (11) which consists of three radars (12) set on the bridge to collect Type One vehicle data;
weigh-in-motion system (2), the weigh-in-motion system (2) is set on the bridge at intervals to collect the Type Two vehicle data, with the Type One vehicle data and the Type Two vehicle data at least different in some types;
Data processing device (3), the data processing device (3) is respectively connected with the radar tracking and positioning system (1) and the weigh-in-motion system (2), and is used for receiving the data collected by the radar tracking and positioning system (1) and the weigh-in-motion system (2).
2. The device according to Claim 1 is characterized in that the radar tracking and positioning system (1) is configured to acquire data including vehicle flow, average vehicle speed, time headway, vehicle distance, vehicle longitude, vehicle latitude, and vehicle speed.
3. The device according to Claim 1, characterized in that the weigh-in-motion system (2) is used to collect data including vehicle speed, gross vehicle weight, vehicle axle weight, vehicle wheel base and vehicle lane distribution.
4. The device according to Claim 1, characterized in that the radar tracking and positioning system (1) comprises a radar acquisition module which is connected with the radar set (11) and the data processing device (3).
5. A bridge provided with the device according to Claim 1, is characterized in that:
The radar set (11) is arranged on the bridge tower or a street lamp of the bridge;
The two ends of the bridge deck of the bridge are provided with the weigh-in motion system (2), and the weigh-in-motion system (2) is arranged in a detection area of the radar tracking and positioning system (1).
6. The bridge according to Claim 5, is characterized in that three radars (12) in each of the radar sets (11) face the two ends of the bridge deck and the bridge deck, respectively, and that the detection areas of one radar (12) facing the bridge deck are partially overlapped with the detection areas of the two other radars (12).
7. The bridge according to Claim 6 is characterized in that the detection areas of adjacent two radar sets (11) are partially overlapped.
8. The bridge according to Claim 5 is characterized in that the two ends of the bridge deck are provided with a cabinet, and the cabinet is internally provided with the data processing device (3).
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| AU2020102912A AU2020102912A4 (en) | 2020-10-21 | 2020-10-21 | Device and Method for All-round Precise Recognition of Vehicle Load on the Bridge Deck |
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| AU2020102912A AU2020102912A4 (en) | 2020-10-21 | 2020-10-21 | Device and Method for All-round Precise Recognition of Vehicle Load on the Bridge Deck |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114740465A (en) * | 2022-03-18 | 2022-07-12 | 四川九洲防控科技有限责任公司 | Radar track rapid batching method and device, storage medium and electronic equipment |
| CN117197760A (en) * | 2023-09-06 | 2023-12-08 | 东南大学 | Bridge vehicle load distribution long-term monitoring method based on video monitoring |
| CN117454318A (en) * | 2023-12-26 | 2024-01-26 | 深圳市城市交通规划设计研究中心股份有限公司 | Bridge group space-time load distribution identification method based on multi-source data fusion |
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2020
- 2020-10-21 AU AU2020102912A patent/AU2020102912A4/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114740465A (en) * | 2022-03-18 | 2022-07-12 | 四川九洲防控科技有限责任公司 | Radar track rapid batching method and device, storage medium and electronic equipment |
| CN117197760A (en) * | 2023-09-06 | 2023-12-08 | 东南大学 | Bridge vehicle load distribution long-term monitoring method based on video monitoring |
| CN117454318A (en) * | 2023-12-26 | 2024-01-26 | 深圳市城市交通规划设计研究中心股份有限公司 | Bridge group space-time load distribution identification method based on multi-source data fusion |
| CN117454318B (en) * | 2023-12-26 | 2024-03-26 | 深圳市城市交通规划设计研究中心股份有限公司 | Bridge group space-time load distribution identification method based on multi-source data fusion |
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