CN111627225B - Multi-dimensional judgment method for type of axle facing nuclear load monitoring in substation - Google Patents

Multi-dimensional judgment method for type of axle facing nuclear load monitoring in substation Download PDF

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CN111627225B
CN111627225B CN202010750860.2A CN202010750860A CN111627225B CN 111627225 B CN111627225 B CN 111627225B CN 202010750860 A CN202010750860 A CN 202010750860A CN 111627225 B CN111627225 B CN 111627225B
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vehicle
axle
side unit
road side
time
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CN111627225A (en
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陈振宇
李小村
夏莹杰
卢志珊
潘鹏志
麻瓯勃
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Hangzhou Zcits Technology Co ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • 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
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/02—Detecting movement of traffic to be counted or controlled using treadles built into the road
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/042—Detecting movement of traffic to be counted or controlled using inductive or magnetic detectors

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Abstract

The application discloses a multidimensional judgment method for the type of an axle facing nuclear load monitoring in an over-station control, which relates to the technical field of vehicle weighing systems and comprises the following steps: step 1, initializing; step 2, vehicle
Figure DEST_PATH_IMAGE001
First speed measurement ground induction coil for reaching off-site overtaking point
Figure 226995DEST_PATH_IMAGE002
Time triggering and timing; step 3, detecting the direction of the friction force; step 4, weighing platform
Figure DEST_PATH_IMAGE003
Measuring the axle weight of each axle
Figure 439801DEST_PATH_IMAGE004
And passes through the road side unit
Figure DEST_PATH_IMAGE005
Computing vehicle
Figure 755376DEST_PATH_IMAGE001
Gross weight of vehicle and goods
Figure 621701DEST_PATH_IMAGE006
(ii) a Step 5, the vehicle
Figure 616202DEST_PATH_IMAGE001
Continuously driving and reaching the second speed-measuring ground induction coil of the off-site overtaking point
Figure DEST_PATH_IMAGE007
Time-triggered timing, road side unit
Figure 367120DEST_PATH_IMAGE005
Calculating the vehicle speed according to the real-time transmitted detection data
Figure 271622DEST_PATH_IMAGE008
(ii) a Step 6, road side unit
Figure 43269DEST_PATH_IMAGE005
Calculating the distance between the axles and establishing an axle model; step 7, treating the hypercenter
Figure DEST_PATH_IMAGE009
And (4) carrying out overload judgment by combining the vehicle overrun overload determination standard and the obtained gross weight of the vehicle and the goods. This application has picture and the video of avoiding relying on the camera of controlling the super point completely and shooing, and effectively distinguishes drive shaft and driven shaft, realizes automatic accurate super effect of controlling.

Description

Multi-dimensional judgment method for type of axle facing nuclear load monitoring in substation
Technical Field
The application relates to the technical field of vehicle weighing systems, in particular to a multidimensional judgment method for the type of an axle facing nuclear load monitoring in an over-station control.
Background
Under the scene of off-site overload control, different vehicle axle types need to be distinguished to obtain corresponding nuclear loads, and whether a certain vehicle is overloaded or not is judged by combining the total weight data of the vehicle and the goods returned by the off-site overload control point.
The Chinese patent with publication number CN106530425A discloses a novel dynamic weighing system for toll stations, which comprises a toll computer, a video card, a toll controller and an outdoor controller which are respectively connected with the toll computer, a camera connected with the video card, a lane signal lamp, an alarm, a display screen and a railing machine which are respectively connected with the toll controller, and an axle weight detection table, an axle identifier, an infrared vehicle separator and a vehicle detector which are respectively connected with the outdoor controller; the vehicle detector comprises an annular induction coil, a coil detector and a signal cable; the wheel axle identifier consists of a set of pressure sensors.
In the practical application of the novel toll station dynamic weighing system, although the electromagnetic coil and the side vertical sensor are adopted to realize wheel axle identification, compared with the manual identification and determination of the vehicle axle type, the effects of reducing the labor burden and saving the time are achieved; however, when axle distribution is inferred by image recognition of wheel distribution, and corresponding nuclear load matching is realized to control overtime, the axle type classification method combined with machine learning depends on pictures and videos shot by a camera, and the shooting effects of the pictures and the videos are affected in severe weather (such as night, rainy days, snowy days, haze days and the like) and scenes with high vehicle density (occlusion exists), so that great challenges are brought to the trained model for realizing axle type classification. In addition, in vehicles having the same axle distribution type, if the number and distribution of the transaxles are different, the nuclear load is also different in the vehicle overrun overload determination standard. The driving wheels are connected with the driving axle, and the driving wheels and the driven wheels of the vehicle are distinguished only through pictures or videos shot by the superstation camera, so that the problems of high difficulty and insufficient accuracy are solved.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a multidimensional determination method for determining a type of an axle facing a nuclear monitoring in a superstation, so as to achieve automatic axle type resolution without additional human resources, and effectively avoid the influence of severe weather and vehicle density. The specific scheme is as follows:
a multi-dimensional judgment method for the type of an axle facing nuclear load monitoring of a control substation comprises the following steps:
step 1, initializing a speed-measuring ground induction coil for off-site over-point treatment (step 1)
Figure 927119DEST_PATH_IMAGE001
、
Figure 269238DEST_PATH_IMAGE002
) Force sensor
Figure 321508DEST_PATH_IMAGE003
And a weighing platform;
step 2, vehicle
Figure 40065DEST_PATH_IMAGE004
First speed measurement ground induction coil for reaching off-site overtaking point
Figure 258295DEST_PATH_IMAGE001
Time-triggered timing, recording time as
Figure 771316DEST_PATH_IMAGE005
Starting to move the vehicle
Figure 248565DEST_PATH_IMAGE004
Ground induction coil for detection and speed measurement
Figure 770813DEST_PATH_IMAGE001
Real-time transmission of detection data to roadside units
Figure 79434DEST_PATH_IMAGE006
；
Step 3, force measuring sensor
Figure 825673DEST_PATH_IMAGE003
And a vehicle
Figure 586956DEST_PATH_IMAGE004
The contact area of the wheel is locally deformed to detect the direction of the frictional force, and the force sensor
Figure 411430DEST_PATH_IMAGE003
Real-time transmission of detection data to roadside units
Figure 574558DEST_PATH_IMAGE006
；
Step 4, weighing platform
Figure 429382DEST_PATH_IMAGE007
Measure every carAxle weight
Figure 943540DEST_PATH_IMAGE008
And a weighing platform
Figure 807591DEST_PATH_IMAGE007
Real-time transmission of detection data to roadside units
Figure 621963DEST_PATH_IMAGE006
Road side unit
Figure 178846DEST_PATH_IMAGE006
Computing vehicle
Figure 914721DEST_PATH_IMAGE004
Gross weight of vehicle and goods
Figure 316884DEST_PATH_IMAGE009
；
Step 5, the vehicle
Figure 687560DEST_PATH_IMAGE004
Continuously driving and reaching the second speed-measuring ground induction coil of the off-site overtaking point
Figure 415344DEST_PATH_IMAGE002
Time-triggered timing, recording time as
Figure 372936DEST_PATH_IMAGE010
And proceed with the vehicle
Figure 641106DEST_PATH_IMAGE004
And speed-measuring ground induction coil
Figure 633333DEST_PATH_IMAGE002
Real-time transmission of detection data to roadside units
Figure 266440DEST_PATH_IMAGE006
Road side unit
Figure 711328DEST_PATH_IMAGE006
Calculating the vehicle speed according to the real-time transmitted detection data
Figure 720872DEST_PATH_IMAGE011
；
Step 6, road side unit
Figure 567605DEST_PATH_IMAGE006
Calculating the distance between the axles and establishing an axle model;
step 7, treating the hypercenter
Figure 433930DEST_PATH_IMAGE012
And (4) carrying out overload judgment by combining the vehicle overrun overload determination standard and the obtained gross weight of the vehicle and the goods.
Preferably: in step 2, when the vehicle is running
Figure 864649DEST_PATH_IMAGE004
Off-ground induction coil
Figure 677884DEST_PATH_IMAGE001
Time is recorded as
Figure 644703DEST_PATH_IMAGE013
(ii) a Deployed ground sensing coil in close proximity to load cell
Figure 354033DEST_PATH_IMAGE003
At a mutual distance of
Figure 39093DEST_PATH_IMAGE014
And is and
Figure 390440DEST_PATH_IMAGE014
less than the distance from the rear wheel to the tail of the vehicle and less than the safety distance of the vehicle
Figure 211765DEST_PATH_IMAGE015
。
Preferably: in step 3, the load cell
Figure 154313DEST_PATH_IMAGE003
And a vehicle
Figure 61089DEST_PATH_IMAGE004
The local deformation generated in the contact area of the wheel is a three-dimensional shape.
Preferably: the force sensor
Figure 714662DEST_PATH_IMAGE003
The driving wheel and the driven wheel are distinguished by measuring the friction force direction of each group of tires (one group of coaxial tires) of the vehicle and the ground, and the contact time point of each group of tires and the tire is recorded and stored as the following tuples:
Figure 390494DEST_PATH_IMAGE016
；
wherein:
Figure 707206DEST_PATH_IMAGE017
as vehicles
Figure 101278DEST_PATH_IMAGE004
The identity of (2);
Figure 794428DEST_PATH_IMAGE018
identifying a tire group;
Figure 387083DEST_PATH_IMAGE019
as vehicles
Figure 140276DEST_PATH_IMAGE004
To (1) a
Figure 490485DEST_PATH_IMAGE018
Assembling tires;
Figure 987326DEST_PATH_IMAGE020
for tyres and force-measuring sensors
Figure 136285DEST_PATH_IMAGE003
The direction of the frictional force therebetween;
Figure 60379DEST_PATH_IMAGE017
is a tire and force sensor
Figure 429043DEST_PATH_IMAGE003
For subsequent axle spacing calculation;
and according to each group of tires corresponding to one axle, recording as
Figure 260733DEST_PATH_IMAGE021
I.e. by
Figure 765664DEST_PATH_IMAGE021
As vehicles
Figure 860659DEST_PATH_IMAGE004
The corresponding number of axles.
Preferably: when the vehicle is running
Figure 185461DEST_PATH_IMAGE004
Off-ground induction coil
Figure 24104DEST_PATH_IMAGE001
Time road side unit
Figure 445858DEST_PATH_IMAGE006
Reset force cell
Figure 711754DEST_PATH_IMAGE003
Is/are as follows
Figure 287967DEST_PATH_IMAGE017
(ii) a And in step 4, the road side unit
Figure 399142DEST_PATH_IMAGE006
Will be weighted
Figure 878665DEST_PATH_IMAGE022
With corresponding tuples
Figure 315463DEST_PATH_IMAGE023
And (7) corresponding.
Preferably: in step 5, the road side unit
Figure 880436DEST_PATH_IMAGE006
The vehicle speed is calculated by the following calculation formula
Figure 857620DEST_PATH_IMAGE024
：
Figure 457228DEST_PATH_IMAGE025
；
Wherein the content of the first and second substances,
Figure 64927DEST_PATH_IMAGE026
for recording time
Figure 586038DEST_PATH_IMAGE005
And recording the time of day as
Figure 68710DEST_PATH_IMAGE010
Timing time difference of, i.e.
Figure 522825DEST_PATH_IMAGE027
；
Figure 98163DEST_PATH_IMAGE028
Is a ground induction coil
Figure 372149DEST_PATH_IMAGE001
Ground induction coil
Figure 894397DEST_PATH_IMAGE002
The pitch of (2).
Preferably: in step 6, the axle distance is calculated by the roadside unit
Figure 937440DEST_PATH_IMAGE006
Obtained by:
Figure 886941DEST_PATH_IMAGE029
；
wherein the content of the first and second substances,
Figure 913803DEST_PATH_IMAGE030
as vehicles
Figure 239742DEST_PATH_IMAGE004
To (1) a
Figure 166985DEST_PATH_IMAGE018
Root axis and the first
Figure 21808DEST_PATH_IMAGE031
Distance between the axles;
Figure 270387DEST_PATH_IMAGE024
the resulting vehicle speed;
Figure 134438DEST_PATH_IMAGE032
is as follows
Figure 214389DEST_PATH_IMAGE031
Contact time of set of tires
Figure 708956DEST_PATH_IMAGE033
And a first
Figure 241568DEST_PATH_IMAGE018
Contact time point of set of tires
Figure 909310DEST_PATH_IMAGE034
The difference of (a).
Preferably: the method for establishing the shaft model is a road side unit
Figure 47030DEST_PATH_IMAGE006
The following data are established:
Figure 7771DEST_PATH_IMAGE035
；
and a road side unit
Figure 230942DEST_PATH_IMAGE006
Data to be recorded
Figure 436795DEST_PATH_IMAGE036
And uploading the shaft model to the super center
Figure 429022DEST_PATH_IMAGE012
。
Preferably: in step 6, after the axle model is established, the road side unit
Figure 62128DEST_PATH_IMAGE006
Analyzing the axle distance ratio through videos and pictures shot by a camera, and verifying the axle model result;
wherein the road side unit
Figure 569333DEST_PATH_IMAGE006
Analysis of axle-to-axle distance ratio by video and photo taken by camera
Figure 578877DEST_PATH_IMAGE037
Vehicle
Figure 425611DEST_PATH_IMAGE004
All camera axle pitch ratios
Figure 495198DEST_PATH_IMAGE038
(ii) a And pass through
Figure 925917DEST_PATH_IMAGE039
Calculating to obtain the axle distance ratio
Figure 473573DEST_PATH_IMAGE040
；
The road side unit
Figure 174813DEST_PATH_IMAGE006
Comparing the values by the following calculation formula
Figure 415301DEST_PATH_IMAGE038
And
Figure 631519DEST_PATH_IMAGE040
and (3) performing relevance analysis:
Figure 982866DEST_PATH_IMAGE041
；
wherein the content of the first and second substances,
Figure 804191DEST_PATH_IMAGE042
in order to analyze the results of the analysis,
Figure 215581DEST_PATH_IMAGE018
indicating vehicles
Figure 856778DEST_PATH_IMAGE004
The serial number of the axle;
and a road side unit
Figure 510351DEST_PATH_IMAGE006
Video, photo and analysis result
Figure 186183DEST_PATH_IMAGE042
Up to the super center
Figure 565212DEST_PATH_IMAGE012
。
Preferably: the verification of the shaft model result comprises controlling the over-center
Figure 959284DEST_PATH_IMAGE012
The degree of freedom is calculated by the following calculation formula:
Figure 652433DEST_PATH_IMAGE043
；
wherein the content of the first and second substances,
Figure 182772DEST_PATH_IMAGE044
representing a check comparisonThe number of methods;
Figure 670385DEST_PATH_IMAGE045
representing the number of axial spacing ratios, i.e.
Figure 551753DEST_PATH_IMAGE046
；
And according to the statistical information comprehensive analysis, adjusting the threshold value of the verification confidence coefficient
Figure 48594DEST_PATH_IMAGE047
；
Degree of freedom of combination
Figure 495756DEST_PATH_IMAGE048
And confidence threshold
Figure 918384DEST_PATH_IMAGE047
Inquiring the card boundary value table to obtain the critical value
Figure 21470DEST_PATH_IMAGE049
；
If it is
Figure 790843DEST_PATH_IMAGE050
Then the verification is passed and the hypercenter is controlled
Figure 561352DEST_PATH_IMAGE012
Determining standard and judging overload according to the vehicle overrun and overload;
if it is
Figure 656347DEST_PATH_IMAGE051
Then the verification is failed and the hypercenter is controlled
Figure 246729DEST_PATH_IMAGE012
This example is assigned to the staff to perform an override decision.
According to the scheme, the multidimensional judgment method for the type of the axle facing the nuclear load monitoring in the overtaking station has the following beneficial effects:
1. the multidimensional axle type judgment is realized by combining the time of the vehicle passing through a road weighing platform, the measured running speed, the direction of the friction force applied to each group of tires and the video and the picture shot by a camera;
2. the driving shaft and the driven shaft are distinguished by measuring the direction of the friction force, so that the purposes of analyzing the distribution condition of the driving shaft of the vehicle and accurately controlling the excess are achieved;
3. through automatic shaft type distinguishing without additional human resources, labor cost is reduced, and efficiency and precision of shaft identification are effectively improved;
4. through not totally relying on the camera, the first three dimension measured values of utilization can not receive the influence of bad weather, vehicle density to realize showing promotion of shaft identification precision.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a superordinate station of the multi-dimensional decision method disclosed in the present application;
FIG. 2 is a block flow diagram of a multi-dimensional decision method disclosed herein;
fig. 3 is a schematic diagram of an axis model constructed in a first embodiment of the multi-dimensional determination method disclosed in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The following specifically describes a multidimensional determination method for the type of an axle facing nuclear load monitoring in the substation overtaking mode according to the embodiment of the present invention:
as shown in fig. 1 and 2, a multidimensional determination method for determining the type of an axle facing a nuclear load monitoring in an over-station includes the following steps:
step 1, initializing a speed-measuring ground induction coil for off-site over-point treatment (step 1)
Figure 882109DEST_PATH_IMAGE001
、
Figure 507126DEST_PATH_IMAGE002
) Force sensor
Figure 773022DEST_PATH_IMAGE052
And a weighing platform;
step 2, vehicle
Figure 349235DEST_PATH_IMAGE004
First speed measurement ground induction coil for reaching off-site overtaking point
Figure 460410DEST_PATH_IMAGE001
Time-triggered timing, recording time as
Figure 939933DEST_PATH_IMAGE005
Start to drive the vehicle
Figure 376731DEST_PATH_IMAGE004
And speed-measuring ground induction coil
Figure 738442DEST_PATH_IMAGE001
Real-time transmission of detection data to roadside units
Figure 918887DEST_PATH_IMAGE006
；
When the vehicle is running
Figure 252917DEST_PATH_IMAGE004
Off-ground induction coil
Figure 595036DEST_PATH_IMAGE001
Time is recorded as
Figure 647306DEST_PATH_IMAGE053
(ii) a Deployed ground sensing coil in close proximity to load cell
Figure 129978DEST_PATH_IMAGE003
At a mutual distance of
Figure 115251DEST_PATH_IMAGE054
And is and
Figure 893851DEST_PATH_IMAGE054
less than the distance from the rear wheel to the tail of the vehicle and less than the safety distance of the vehicle
Figure 433417DEST_PATH_IMAGE015
；
Step 3, force measuring sensor
Figure 955665DEST_PATH_IMAGE003
And a vehicle
Figure 998708DEST_PATH_IMAGE004
The contact area of the wheel is locally deformed and the force sensor
Figure 948209DEST_PATH_IMAGE003
And a vehicle
Figure 771809DEST_PATH_IMAGE004
The local deformation generated in the contact area of the wheel is a three-dimensional shape; wherein:
force sensor
Figure 832169DEST_PATH_IMAGE003
By measuring the direction of friction between each set of tyres (of a set of coaxial tyres) of the vehicle and the groundDriving wheels and driven wheels are divided, and the contact time point of each group of tires with the tire is recorded and stored as the following tuples:
Figure 995297DEST_PATH_IMAGE055
；
wherein:
Figure 637672DEST_PATH_IMAGE056
as vehicles
Figure 886251DEST_PATH_IMAGE004
The identity of (2);
Figure 750302DEST_PATH_IMAGE057
identifying a tire group;
Figure 830253DEST_PATH_IMAGE058
as vehicles
Figure 121557DEST_PATH_IMAGE004
To (1) a
Figure 857432DEST_PATH_IMAGE057
Assembling tires;
Figure 525174DEST_PATH_IMAGE059
for tyres and force-measuring sensors
Figure 397315DEST_PATH_IMAGE003
The direction of the frictional force therebetween;
Figure 859520DEST_PATH_IMAGE060
is a tire and force sensor
Figure 581226DEST_PATH_IMAGE003
For subsequent axle spacing calculation;
and according to each group of tires corresponding to one axle, recording as
Figure 583817DEST_PATH_IMAGE061
I.e. by
Figure 576044DEST_PATH_IMAGE061
As vehicles
Figure 474730DEST_PATH_IMAGE004
The corresponding number of axles;
and a force cell
Figure 185197DEST_PATH_IMAGE003
Transmitting the detection data to the road side unit in real time;
and as a vehicle
Figure 663583DEST_PATH_IMAGE004
Off-ground induction coil
Figure 775895DEST_PATH_IMAGE001
Time road side unit
Figure 376641DEST_PATH_IMAGE006
Reset force measurement
Figure 574404DEST_PATH_IMAGE006
Sensor with a sensor element
Figure 122060DEST_PATH_IMAGE003
Is/are as follows
Figure 587414DEST_PATH_IMAGE060
；
Step 4, weighing platform
Figure 827903DEST_PATH_IMAGE062
Measuring the axle weight of each axle
Figure 450645DEST_PATH_IMAGE022
And a weighing platform
Figure 270833DEST_PATH_IMAGE062
Real-time transmission of detection data to roadside units
Figure 357738DEST_PATH_IMAGE006
Road side unit
Figure 470925DEST_PATH_IMAGE006
Will be weighted
Figure 112122DEST_PATH_IMAGE022
With corresponding tuples
Figure 204843DEST_PATH_IMAGE063
Correspond and calculate the vehicle
Figure 146254DEST_PATH_IMAGE004
Gross weight of vehicle and goods
Figure 525283DEST_PATH_IMAGE064
；
Step 5, the vehicle
Figure 919355DEST_PATH_IMAGE004
Continuously driving and reaching the second speed-measuring ground induction coil of the off-site overtaking point
Figure 612505DEST_PATH_IMAGE065
Time-triggered timing, recording time as
Figure 313482DEST_PATH_IMAGE066
And proceed with the vehicle
Figure 863412DEST_PATH_IMAGE004
And speed-measuring ground induction coil
Figure 744781DEST_PATH_IMAGE065
Real-time transmission of detection data to roadside units
Figure 241621DEST_PATH_IMAGE006
(ii) a Road side unit
Figure 626466DEST_PATH_IMAGE006
The vehicle speed is calculated by the following calculation formula
Figure 284981DEST_PATH_IMAGE067
：
Figure 653645DEST_PATH_IMAGE068
；
Wherein the content of the first and second substances,
Figure 485335DEST_PATH_IMAGE069
for recording time
Figure 754380DEST_PATH_IMAGE070
And recording the time of day as
Figure 583796DEST_PATH_IMAGE071
Timing time difference of, i.e.
Figure 439756DEST_PATH_IMAGE072
；
Figure 278399DEST_PATH_IMAGE073
Is a ground induction coil
Figure 372257DEST_PATH_IMAGE001
Ground induction coil
Figure 638153DEST_PATH_IMAGE002
The pitch of (d);
step 6, road side unit
Figure 715831DEST_PATH_IMAGE006
Calculating the axle distance, the calculation method of the axle distance is a road side unit
Figure 154902DEST_PATH_IMAGE006
Obtained by:
Figure 634425DEST_PATH_IMAGE029
；
wherein the content of the first and second substances,
Figure 569758DEST_PATH_IMAGE074
as vehicles
Figure 134732DEST_PATH_IMAGE004
To (1) a
Figure 315177DEST_PATH_IMAGE018
Root axis and the first
Figure 649207DEST_PATH_IMAGE075
Distance between the axles;
Figure 991326DEST_PATH_IMAGE076
the resulting vehicle speed;
Figure 43596DEST_PATH_IMAGE077
is as follows
Figure 762153DEST_PATH_IMAGE075
Contact time of set of tires
Figure 13006DEST_PATH_IMAGE078
And a first
Figure 791606DEST_PATH_IMAGE018
Contact time point of set of tires
Figure 829707DEST_PATH_IMAGE079
A difference of (d);
and establishing an axis model, wherein the establishment method of the axis model is a road side unit
Figure 351955DEST_PATH_IMAGE006
The following data are established:
Figure 394998DEST_PATH_IMAGE035
；
and a road side unit
Figure 344499DEST_PATH_IMAGE006
Data to be recorded
Figure 105782DEST_PATH_IMAGE036
And uploading the shaft model to the super center
Figure 228458DEST_PATH_IMAGE012
；
Step 7, road side unit
Figure 391586DEST_PATH_IMAGE006
Analyzing the axle distance ratio through videos and pictures shot by a camera, and verifying the axle model result;
wherein the road side unit
Figure 511989DEST_PATH_IMAGE006
Analysis of axle-to-axle distance ratio by video and photo taken by camera
Figure 26147DEST_PATH_IMAGE080
Vehicle
Figure 388733DEST_PATH_IMAGE004
All camera axle pitch ratios
Figure 406368DEST_PATH_IMAGE081
(ii) a And pass through
Figure 697672DEST_PATH_IMAGE082
Calculating to obtain the axle distance ratio
Figure 433547DEST_PATH_IMAGE083
；
The road side unit
Figure 898026DEST_PATH_IMAGE006
Comparing the values by the following calculation formula
Figure 770167DEST_PATH_IMAGE081
And
Figure 497952DEST_PATH_IMAGE083
to carry outAnd (3) correlation analysis:
Figure 721123DEST_PATH_IMAGE084
；
wherein the content of the first and second substances,
Figure 661397DEST_PATH_IMAGE085
in order to analyze the results of the analysis,
Figure 152159DEST_PATH_IMAGE057
indicating vehicles
Figure 50845DEST_PATH_IMAGE004
The serial number of the axle;
and a road side unit
Figure 292470DEST_PATH_IMAGE006
Video, photo and analysis result
Figure 302014DEST_PATH_IMAGE085
Up to the super center
Figure 414327DEST_PATH_IMAGE012
；
Checking the shaft model result includes controlling the over-center
Figure 218335DEST_PATH_IMAGE012
The degree of freedom is calculated by the following calculation formula:
Figure 150519DEST_PATH_IMAGE043
；
wherein the content of the first and second substances,
Figure 698175DEST_PATH_IMAGE086
representing the number of verification comparison methods;
Figure 664994DEST_PATH_IMAGE087
representing the number of axial spacing ratios, i.e.
Figure 138438DEST_PATH_IMAGE088
；
And according to the statistical information comprehensive analysis, adjusting the threshold value of the verification confidence coefficient
Figure 620235DEST_PATH_IMAGE089
；
Degree of freedom of combination
Figure 971582DEST_PATH_IMAGE090
And confidence threshold
Figure 792907DEST_PATH_IMAGE089
Inquiring the card boundary value table to obtain the critical value
Figure 938718DEST_PATH_IMAGE091
；
Step 8, if
Figure 845494DEST_PATH_IMAGE092
Then the verification is passed and the hypercenter is controlled
Figure 734953DEST_PATH_IMAGE012
Carrying out overload judgment according to the vehicle overrun overload determination standard and the obtained gross weight of the vehicle and the goods;
if it is
Figure 676364DEST_PATH_IMAGE093
Then the verification is failed and the hypercenter is controlled
Figure 789813DEST_PATH_IMAGE012
This example is assigned to the staff to perform an override decision.
Example one
As shown in fig. 1 and 2, a multidimensional determination method for determining the type of an axle facing a nuclear load monitoring in an over-station includes the following steps:
step 1, initializing a speed-measuring ground induction coil for off-site over-point treatment (step 1)
Figure 183886DEST_PATH_IMAGE001
、
Figure 109991DEST_PATH_IMAGE002
) Force sensor
Figure 905909DEST_PATH_IMAGE003
And a weighing platform;
step 2, vehicle
Figure 659101DEST_PATH_IMAGE004
First speed measurement ground induction coil for reaching off-site overtaking point
Figure 540469DEST_PATH_IMAGE001
Time-triggered timing, recording time as
Figure 568468DEST_PATH_IMAGE094
Here, the time interval error of the ground induction coil is set as
Figure 218893DEST_PATH_IMAGE095
(ii) a And start to drive the vehicle
Figure 142986DEST_PATH_IMAGE004
And speed-measuring ground induction coil
Figure 246071DEST_PATH_IMAGE001
Real-time transmission of detection data to roadside units
Figure 281024DEST_PATH_IMAGE006
；
When the vehicle is running
Figure 582692DEST_PATH_IMAGE004
Off-ground induction coil
Figure 176222DEST_PATH_IMAGE001
Time is recorded as
Figure 32183DEST_PATH_IMAGE096
(ii) a Deployed ground induction coilClosely adjacent to the load cell at a mutual distance of
Figure 605246DEST_PATH_IMAGE097
And is and
Figure 964683DEST_PATH_IMAGE098
less than the distance from the rear wheel to the tail of the vehicle and less than the safety distance of the vehicle
Figure 230580DEST_PATH_IMAGE099
(where the vehicle speed is taken as
Figure 308257DEST_PATH_IMAGE100
Lower safe inter-vehicle distance) to ensure the same
Figure 747329DEST_PATH_IMAGE101
Inner vehicle
Figure 226852DEST_PATH_IMAGE004
All wheels are connected with force transducers
Figure 663649DEST_PATH_IMAGE003
Contact and no other vehicle can reach the load cell during the period
Figure 727158DEST_PATH_IMAGE003
；
Step 3, force measuring sensor
Figure 376445DEST_PATH_IMAGE003
And a vehicle
Figure 976054DEST_PATH_IMAGE004
The contact area of the wheel is locally deformed and the force sensor
Figure 583753DEST_PATH_IMAGE003
And a vehicle
Figure 432760DEST_PATH_IMAGE004
The local area generated by the contact area of the wheel becomes threeDimensional shape; wherein:
force sensor
Figure 151317DEST_PATH_IMAGE003
The driving wheel and the driven wheel are distinguished by measuring the friction force direction of each group of tires (one group of coaxial tires) of the vehicle and the ground, and the contact time point of each group of tires and the tire is recorded and stored as the following tuples:
Figure 605432DEST_PATH_IMAGE102
；
wherein:
Figure 118453DEST_PATH_IMAGE103
as vehicles
Figure 658019DEST_PATH_IMAGE004
The identity of (2);
Figure 678802DEST_PATH_IMAGE104
identifying a tire group;
Figure 987424DEST_PATH_IMAGE105
being vehicles
Figure 733663DEST_PATH_IMAGE004
First, the
Figure 494946DEST_PATH_IMAGE104
Assembling tires;
Figure 555305DEST_PATH_IMAGE106
for tyres and force-measuring sensors
Figure 718434DEST_PATH_IMAGE003
The direction of the frictional force between the vehicle and the vehicle is 1
Figure 838836DEST_PATH_IMAGE004
The same direction of travel, 0 indicates the direction of friction and the direction of travel of the vehicle
Figure 352994DEST_PATH_IMAGE004
The driving direction is opposite;
Figure 13783DEST_PATH_IMAGE107
is a tire and force sensor
Figure 31417DEST_PATH_IMAGE003
For subsequent axle spacing calculation;
the result recorded is
Figure 86836DEST_PATH_IMAGE108
，
Figure 557131DEST_PATH_IMAGE109
，
Figure 959294DEST_PATH_IMAGE110
，
Figure 97014DEST_PATH_IMAGE111
，
Figure 621536DEST_PATH_IMAGE112
，
Figure 579128DEST_PATH_IMAGE113
；
And according to each group of tires corresponding to one axle, recording as
Figure 784981DEST_PATH_IMAGE114
I.e. by
Figure 777208DEST_PATH_IMAGE114
As vehicles
Figure 207053DEST_PATH_IMAGE004
Corresponding number of axles can be obtained
Figure 917520DEST_PATH_IMAGE115
；
And the force measuring transducerSensor for measuring body weight
Figure 449037DEST_PATH_IMAGE003
Real-time transmission of detection data to roadside units
Figure 30191DEST_PATH_IMAGE006
；
And as a vehicle
Figure 896515DEST_PATH_IMAGE004
Off-ground induction coil
Figure 828699DEST_PATH_IMAGE001
Time road side unit
Figure 376355DEST_PATH_IMAGE006
Reset force cell
Figure 343174DEST_PATH_IMAGE003
Is/are as follows
Figure 114821DEST_PATH_IMAGE107
I.e. after reset
Figure 799881DEST_PATH_IMAGE116
；
Step 4, weighing platform
Figure 151227DEST_PATH_IMAGE117
Measuring the axle weight of each axle
Figure 706974DEST_PATH_IMAGE118
Are respectively as
Figure 351319DEST_PATH_IMAGE119
，
Figure 54833DEST_PATH_IMAGE120
，
Figure 209871DEST_PATH_IMAGE121
，
Figure 620124DEST_PATH_IMAGE122
，
Figure 202415DEST_PATH_IMAGE123
，
Figure 596487DEST_PATH_IMAGE124
(ii) a And the weighing platform
Figure 86374DEST_PATH_IMAGE117
Real-time transmission of detection data to roadside units
Figure 882292DEST_PATH_IMAGE006
Road side unit
Figure 369905DEST_PATH_IMAGE006
Will be weighted
Figure 985694DEST_PATH_IMAGE022
With corresponding tuples
Figure 279272DEST_PATH_IMAGE125
Correspond and calculate the vehicle
Figure 428232DEST_PATH_IMAGE004
Total weight of vehicle and cargo
Figure 86746DEST_PATH_IMAGE126
I.e. by
Figure 455411DEST_PATH_IMAGE127
；
Step 5, the vehicle
Figure 287100DEST_PATH_IMAGE004
Continuously driving and reaching the second speed-measuring ground induction coil of the off-site overtaking point
Figure 792031DEST_PATH_IMAGE002
Time-triggered timing, recording time as
Figure 621447DEST_PATH_IMAGE128
And proceed with the vehicle
Figure 211828DEST_PATH_IMAGE004
And speed-measuring ground induction coil
Figure 847209DEST_PATH_IMAGE002
Real-time transmission of detection data to roadside units
Figure 472225DEST_PATH_IMAGE006
(ii) a Road side unit
Figure 472542DEST_PATH_IMAGE006
The vehicle speed is calculated by the following calculation formula
Figure 48755DEST_PATH_IMAGE129
：
Figure 222247DEST_PATH_IMAGE130
；
Wherein the content of the first and second substances,
Figure 701770DEST_PATH_IMAGE131
for recording time
Figure 872988DEST_PATH_IMAGE132
And recording the time of day as
Figure 437962DEST_PATH_IMAGE133
Timing time difference of, i.e.
Figure 618407DEST_PATH_IMAGE134
；
Figure 14754DEST_PATH_IMAGE135
Is a ground induction coil
Figure 622453DEST_PATH_IMAGE001
Ground induction coil
Figure 143564DEST_PATH_IMAGE002
And a distance of
Figure 127700DEST_PATH_IMAGE136
；
Step 6, road side unit
Figure 378553DEST_PATH_IMAGE006
Calculating the axle distance, the calculation method of the axle distance is a road side unit
Figure 655688DEST_PATH_IMAGE006
Obtained by:
Figure 929675DEST_PATH_IMAGE137
；
wherein the content of the first and second substances,
Figure 186344DEST_PATH_IMAGE138
as vehicles
Figure 291703DEST_PATH_IMAGE004
To (1) a
Figure 241205DEST_PATH_IMAGE104
Root axis and the first
Figure 268066DEST_PATH_IMAGE075
Distance between the axles;
Figure 62847DEST_PATH_IMAGE067
the resulting vehicle speed;
Figure 491554DEST_PATH_IMAGE032
is as follows
Figure 611957DEST_PATH_IMAGE075
Contact time of set of tires
Figure 359071DEST_PATH_IMAGE139
And a first
Figure 223122DEST_PATH_IMAGE140
Contact time point of set of tires
Figure 506336DEST_PATH_IMAGE141
A difference of (d);
can obtain the product
Figure 594377DEST_PATH_IMAGE142
，
Figure 330252DEST_PATH_IMAGE143
，
Figure 997994DEST_PATH_IMAGE144
，
Figure 135714DEST_PATH_IMAGE145
，
Figure 332340DEST_PATH_IMAGE146
；
And establishing an axis model, wherein the establishment method of the axis model is a road side unit
Figure 555511DEST_PATH_IMAGE006
The following data are established:
Figure 823682DEST_PATH_IMAGE147
；
wherein:
Figure 314444DEST_PATH_IMAGE148
Figure 947550DEST_PATH_IMAGE149
and constructing an axis model as shown in fig. 3;
and a road side unit
Figure 392438DEST_PATH_IMAGE006
And (3) processing the data:
Figure 401982DEST_PATH_IMAGE150
and uploading the shaft model to the super center
Figure 45453DEST_PATH_IMAGE012
；
Step 7, road side unit
Figure 115040DEST_PATH_IMAGE006
Analyzing the axle distance ratio through videos and pictures shot by a camera, and verifying the axle model result;
wherein the road side unit
Figure 781645DEST_PATH_IMAGE006
Analysis of axle-to-axle distance ratio by video and photo taken by camera
Figure 594880DEST_PATH_IMAGE151
Vehicle
Figure 92858DEST_PATH_IMAGE004
All camera axle pitch ratios
Figure 333346DEST_PATH_IMAGE152
(ii) a And pass through
Figure 985782DEST_PATH_IMAGE153
And (3) calculating to obtain an axle distance ratio:
Figure 337129DEST_PATH_IMAGE154
；
the road side unit
Figure 955192DEST_PATH_IMAGE006
Comparing the values by the following calculation formula
Figure 366582DEST_PATH_IMAGE152
And
Figure 273358DEST_PATH_IMAGE155
and (3) performing relevance analysis:
Figure 162817DEST_PATH_IMAGE156
；
wherein the content of the first and second substances,
Figure 838649DEST_PATH_IMAGE157
in order to analyze the results of the analysis,
Figure 217677DEST_PATH_IMAGE104
indicating vehicles
Figure 611750DEST_PATH_IMAGE004
The serial number of the axle;
and a road side unit
Figure 39320DEST_PATH_IMAGE006
Video, photo and analysis result
Figure 333773DEST_PATH_IMAGE157
Up to the super center
Figure 618124DEST_PATH_IMAGE012
；
Checking the shaft model result includes controlling the over-center
Figure 499492DEST_PATH_IMAGE012
The degree of freedom is calculated by the following calculation formula:
Figure 996332DEST_PATH_IMAGE158
；
wherein the content of the first and second substances,
Figure 381177DEST_PATH_IMAGE086
representing the number of verification comparison methods;
Figure 102009DEST_PATH_IMAGE159
representing the number of axial spacing ratios, i.e.
Figure 205094DEST_PATH_IMAGE160
；
And according to the statistical information comprehensive analysis, adjusting the threshold value of the verification confidence coefficient
Figure 240046DEST_PATH_IMAGE161
；
Degree of freedom of combination
Figure 744977DEST_PATH_IMAGE162
And confidence threshold
Figure 839972DEST_PATH_IMAGE089
Inquiring the card boundary value table to obtain the critical value
Figure 227091DEST_PATH_IMAGE163
；
Step 8,
Figure 564269DEST_PATH_IMAGE164
It indicates that the verification passed, thus overriding the over-center
Figure 189285DEST_PATH_IMAGE012
Based on uploaded axis model and
Figure 189602DEST_PATH_IMAGE165
carrying out overload judgment; matching the obtained result with an over-center database, and defining the axle type corresponding to the vehicle as the core load according to the over-limit and overload identification standard of the road freight vehicle
Figure 267280DEST_PATH_IMAGE166
Ton, comparative
Figure 440772DEST_PATH_IMAGE167
Known vehicle
Figure 920295DEST_PATH_IMAGE004
And is not overloaded.
In summary, the present application provides a vehicle
Figure 91513DEST_PATH_IMAGE004
To a force cell
Figure 656487DEST_PATH_IMAGE003
Force sensor
Figure 633670DEST_PATH_IMAGE003
The contact area with the wheel is locally deformed in a three-dimensional shape, and the processor receives the deformation from the sensor
Figure 967699DEST_PATH_IMAGE003
Generating a local deformation profile, which the processor can use to determine the direction of the force of the contact portion; because in the horizontal direction, the tire and the load cell
Figure 808354DEST_PATH_IMAGE003
Only the friction force exists between the two parts, and then the direction of the friction force is detected. The effect of effectively avoiding completely depending on pictures and videos shot by a camera for off-site over-point treatment is achieved, and the effects of distinguishing a driving shaft and a driven shaft, achieving automatic accurate over-point treatment and avoiding the defects that manpower cost is large, dependence on the camera is high, and axle types cannot be distinguished are achieved.
The specific principle of detecting the direction of the friction force is as follows:
the moving direction of the vehicle driving wheel relative to the ground contact point is opposite to the moving direction of the vehicle, so the received friction force is the same as the moving direction of the vehicle; the moving direction of the driven wheel of the vehicle relative to the ground contact point is the same as the moving direction of the vehicle, so the friction force applied to the driven wheel is opposite to the moving direction of the vehicle (namely the driven wheel is opposite to the moving direction of the vehicle)
Figure 860624DEST_PATH_IMAGE168
In order to drive the wheels,
Figure 641498DEST_PATH_IMAGE169
is a driven wheel) to obtain
Figure 830034DEST_PATH_IMAGE170
Is a driven wheel and is provided with a driving wheel,
Figure 343055DEST_PATH_IMAGE171
is a driven wheel and is provided with a driving wheel,
Figure 679358DEST_PATH_IMAGE172
in order to drive the wheels,
Figure 201607DEST_PATH_IMAGE173
is a driven wheel and is provided with a driving wheel,
Figure 244649DEST_PATH_IMAGE174
is a driven wheel and is provided with a driving wheel,
Figure 194150DEST_PATH_IMAGE175
is a driven wheel. Since the axle corresponds to the wheel, the axle type can be deduced therefrom
Figure 221012DEST_PATH_IMAGE176
，
Figure 78110DEST_PATH_IMAGE177
Showing the drive shaft or shafts, respectively,
Figure 739773DEST_PATH_IMAGE178
representing driven shafts, i.e. shafts
Figure 860176DEST_PATH_IMAGE179
Is a driven shaft, a shaft
Figure 905492DEST_PATH_IMAGE180
Is a driven shaft, a shaft
Figure 769543DEST_PATH_IMAGE181
For driving shafts, shafts
Figure 52757DEST_PATH_IMAGE182
Is a driven shaft, a shaft
Figure 78482DEST_PATH_IMAGE183
Is a driven shaft, a shaft
Figure 814356DEST_PATH_IMAGE184
Is a driven shaft.
References in this application to "first," "second," "third," "fourth," etc., if any, are intended to distinguish between similar elements and not necessarily to describe a particular order or sequence. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises" and "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, or apparatus.
It should be noted that the descriptions in this application referring to "first", "second", etc. are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
The principle and the implementation of the present application are explained herein by applying specific examples, and the above description of the embodiments is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (5)

1. A multi-dimensional judgment method for the type of an axle facing nuclear load monitoring of a control substation is characterized by comprising the following steps:
step 1, initializing a speed-measuring ground induction coil for off-site over-point treatment (step 1)
Figure 289573DEST_PATH_IMAGE001
、
Figure 660512DEST_PATH_IMAGE002
) Force sensor
Figure 46232DEST_PATH_IMAGE003
And a weighing platform;
step 2, vehicle
Figure 135410DEST_PATH_IMAGE004
First speed measurement ground induction coil for reaching off-site overtaking point
Figure 399033DEST_PATH_IMAGE001
Time-triggered timing, recording time as
Figure 31002DEST_PATH_IMAGE005
Start to drive the vehicle
Figure 416984DEST_PATH_IMAGE004
And speed-measuring ground induction coil
Figure 39464DEST_PATH_IMAGE001
Real-time transmission of detection data to roadside units
Figure 169094DEST_PATH_IMAGE006
；
Step 3, the force measuring sensor
Figure 514625DEST_PATH_IMAGE003
And a vehicle
Figure 9191DEST_PATH_IMAGE004
The contact area of the wheel is locally deformed to detect the direction of the frictional force, and the force sensor
Figure 541804DEST_PATH_IMAGE003
Real-time transmission of detection data to roadside units
Figure 412808DEST_PATH_IMAGE006
；
Step 4, weighing platform
Figure 612845DEST_PATH_IMAGE007
Measuring the axle weight of each axle
Figure 534706DEST_PATH_IMAGE008
And a weighing platform
Figure 23456DEST_PATH_IMAGE007
Real-time transmission of detection data to roadside units
Figure 291627DEST_PATH_IMAGE006
Road side unit
Figure 221537DEST_PATH_IMAGE006
Computing vehicle
Figure 448119DEST_PATH_IMAGE004
Gross weight of vehicle and goods
Figure 96269DEST_PATH_IMAGE009
；
Step 5, the vehicle
Figure 105813DEST_PATH_IMAGE004
Continuously driving and reaching the second speed measuring place with off-site overtaking pointInduction coil
Figure 280442DEST_PATH_IMAGE002
Time-triggered timing, recording time as
Figure 22133DEST_PATH_IMAGE010
And proceed with the vehicle
Figure 282214DEST_PATH_IMAGE004
And speed-measuring ground induction coil
Figure 266088DEST_PATH_IMAGE002
Real-time transmission of detection data to roadside units
Figure 295224DEST_PATH_IMAGE006
Road side unit
Figure 738974DEST_PATH_IMAGE006
Calculating the vehicle speed according to the real-time transmitted detection data
Figure 220771DEST_PATH_IMAGE011
；
Step 6, road side unit
Figure 509801DEST_PATH_IMAGE006
Calculating the distance between the axles and establishing an axle model;
step 7, treating the hypercenter
Figure 596706DEST_PATH_IMAGE012
Carrying out overload judgment by combining the vehicle overrun overload determination standard and the obtained gross weight of the vehicle and the goods;
wherein the load cell
Figure 70413DEST_PATH_IMAGE003
The driving wheel and the driven wheel are distinguished by measuring the friction direction between each group of tires of the vehicle and the ground, and the friction direction is recordedThe contact time point of each set of tires with itself, stored as the tuple:
Figure 914872DEST_PATH_IMAGE013
；
wherein:
Figure 132227DEST_PATH_IMAGE014
as vehicles
Figure 509856DEST_PATH_IMAGE004
The identity of (2);
Figure 154464DEST_PATH_IMAGE015
identifying a tire group;
Figure 814116DEST_PATH_IMAGE016
as vehicles
Figure 444948DEST_PATH_IMAGE004
To (1) a
Figure 37604DEST_PATH_IMAGE015
Assembling tires;
Figure 728479DEST_PATH_IMAGE017
for tyres and force-measuring sensors
Figure 937743DEST_PATH_IMAGE003
The direction of the frictional force therebetween;
Figure 372267DEST_PATH_IMAGE018
is a tire and force sensor
Figure 85008DEST_PATH_IMAGE003
For subsequent axle spacing calculation;
the coaxial tires are in a group, and each group of tires corresponds to an axle and is recordedIs recorded as
Figure 9102DEST_PATH_IMAGE019
I.e. by
Figure 813984DEST_PATH_IMAGE019
As vehicles
Figure 176833DEST_PATH_IMAGE004
The corresponding number of axles;
according to
Figure 885026DEST_PATH_IMAGE020
Combining the corresponding relation between the axle and the tire to obtain the type of the axle
Figure 776758DEST_PATH_IMAGE021
；
In step 6, the axle distance is calculated by the roadside unit
Figure 570402DEST_PATH_IMAGE006
Obtained by:
Figure 471362DEST_PATH_IMAGE022
；
wherein the content of the first and second substances,
Figure 96378DEST_PATH_IMAGE023
as vehicles
Figure 299958DEST_PATH_IMAGE004
To (1) a
Figure 705531DEST_PATH_IMAGE015
Root axis and the first
Figure 784083DEST_PATH_IMAGE024
Distance between the axles;
Figure 325923DEST_PATH_IMAGE011
the resulting vehicle speed;
Figure 28300DEST_PATH_IMAGE025
is as follows
Figure 530957DEST_PATH_IMAGE024
Contact time of set of tires
Figure 773719DEST_PATH_IMAGE026
And a first
Figure 311011DEST_PATH_IMAGE015
Contact time point of set of tires
Figure 981027DEST_PATH_IMAGE027
A difference of (d);
the method for establishing the shaft model is a road side unit
Figure 970979DEST_PATH_IMAGE006
The following data are established:
Figure 955116DEST_PATH_IMAGE028
；
and a road side unit
Figure 471548DEST_PATH_IMAGE006
Data to be recorded
Figure 686366DEST_PATH_IMAGE029
And uploading the shaft model to the super center
Figure 553828DEST_PATH_IMAGE030
；
In step 6, after the axle model is established, the road side unit
Figure 13759DEST_PATH_IMAGE006
Analyzing the axle distance ratio through videos and pictures shot by a camera, and verifying the axle model result;
wherein the road side unit
Figure 587960DEST_PATH_IMAGE006
Analysis of axle-to-axle distance ratio by video and photo taken by camera
Figure 599779DEST_PATH_IMAGE031
Vehicle
Figure 298744DEST_PATH_IMAGE004
All camera axle pitch ratios
Figure 952579DEST_PATH_IMAGE032
(ii) a And pass through
Figure 53391DEST_PATH_IMAGE033
Calculating to obtain the axle distance ratio
Figure 439373DEST_PATH_IMAGE034
；
The road side unit
Figure 15848DEST_PATH_IMAGE006
Comparing the values by the following calculation formula
Figure 316117DEST_PATH_IMAGE032
And
Figure 661647DEST_PATH_IMAGE034
and (3) performing relevance analysis:
Figure 156214DEST_PATH_IMAGE035
；
wherein the content of the first and second substances,
Figure 954405DEST_PATH_IMAGE036
in order to analyze the results of the analysis,
Figure 887726DEST_PATH_IMAGE015
indicating vehicles
Figure 697550DEST_PATH_IMAGE004
The serial number of the axle;
and a road side unit
Figure 753231DEST_PATH_IMAGE006
Video, photo and analysis result
Figure 914085DEST_PATH_IMAGE037
Up to the super center
Figure 182256DEST_PATH_IMAGE038
；
The verification of the shaft model result comprises controlling the over-center
Figure 440062DEST_PATH_IMAGE038
The degree of freedom is calculated by the following calculation formula:
Figure 774966DEST_PATH_IMAGE039
；
wherein the content of the first and second substances,
Figure 282170DEST_PATH_IMAGE040
representing the number of verification comparison methods;
Figure 494977DEST_PATH_IMAGE042
representing the number of axial spacing ratios, i.e.
Figure 669606DEST_PATH_IMAGE043
；
And according to the systemComprehensively analyzing the information and adjusting the threshold value of the verification confidence
Figure 411297DEST_PATH_IMAGE044
；
Degree of freedom of combination
Figure 874640DEST_PATH_IMAGE045
And confidence threshold
Figure 484613DEST_PATH_IMAGE044
Inquiring the card boundary value table to obtain the critical value
Figure 389115DEST_PATH_IMAGE046
；
If it is
Figure 691920DEST_PATH_IMAGE047
Then the verification is passed and the hypercenter is controlled
Figure 813198DEST_PATH_IMAGE048
Carrying out overload judgment according to the vehicle overrun overload determination standard and the obtained gross weight of the vehicle and the goods;
if it is
Figure 226861DEST_PATH_IMAGE049
Then the verification is failed and the hypercenter is controlled
Figure 313766DEST_PATH_IMAGE048
This example is assigned to the staff to perform an override decision.
2. The method of claim 1, wherein the method comprises the following steps: in step 2, when the vehicle is running
Figure 662839DEST_PATH_IMAGE050
Off-ground induction coil
Figure 631932DEST_PATH_IMAGE051
Time is recorded as
Figure 724653DEST_PATH_IMAGE052
(ii) a Deployed ground sensing coil in close proximity to load cell
Figure 728381DEST_PATH_IMAGE053
At a mutual distance of
Figure 310672DEST_PATH_IMAGE054
And is and
Figure 642428DEST_PATH_IMAGE055
less than the distance from the rear wheel to the tail of the vehicle and less than the safety distance of the vehicle
Figure 397894DEST_PATH_IMAGE056
。
3. The method of claim 1, wherein the method comprises the following steps: in step 3, the load cell
Figure 895609DEST_PATH_IMAGE053
And a vehicle
Figure 711118DEST_PATH_IMAGE050
The local deformation generated in the contact area of the wheel is a three-dimensional shape.
4. The method of claim 1, wherein the method comprises the following steps: when the vehicle is running
Figure 530170DEST_PATH_IMAGE050
Off-ground induction coil
Figure 823748DEST_PATH_IMAGE051
Time road side unit
Figure 739751DEST_PATH_IMAGE057
Reset force cell
Figure 601528DEST_PATH_IMAGE053
Is/are as follows
Figure 298089DEST_PATH_IMAGE058
(ii) a And in step 4, the road side unit
Figure 270724DEST_PATH_IMAGE057
Will be weighted
Figure 837971DEST_PATH_IMAGE059
With corresponding tuples
Figure 198546DEST_PATH_IMAGE060
And (7) corresponding.
5. The method of claim 1, wherein the method comprises the following steps: in step 5, the road side unit
Figure 490724DEST_PATH_IMAGE057
The vehicle speed is calculated by the following calculation formula
Figure 126105DEST_PATH_IMAGE061
：
Figure 954384DEST_PATH_IMAGE062
；
Wherein the content of the first and second substances,
Figure 282597DEST_PATH_IMAGE063
for recording time
Figure 625854DEST_PATH_IMAGE064
And recording the time of day as
Figure 205871DEST_PATH_IMAGE065
Timing time difference of, i.e.
Figure 747710DEST_PATH_IMAGE066
；
Figure 122191DEST_PATH_IMAGE067
Is a ground induction coil
Figure 15061DEST_PATH_IMAGE051
Ground induction coil
Figure 366145DEST_PATH_IMAGE068
The pitch of (2).
CN202010750860.2A 2020-07-30 2020-07-30 Multi-dimensional judgment method for type of axle facing nuclear load monitoring in substation Active CN111627225B (en)

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