CN109686107A - A kind of intelligent transport vehicle vehicle bottom identifying system - Google Patents
A kind of intelligent transport vehicle vehicle bottom identifying system Download PDFInfo
- Publication number
- CN109686107A CN109686107A CN201910116104.1A CN201910116104A CN109686107A CN 109686107 A CN109686107 A CN 109686107A CN 201910116104 A CN201910116104 A CN 201910116104A CN 109686107 A CN109686107 A CN 109686107A
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- vehicle
- identification
- information
- deceleration strip
- lane
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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
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
-
- 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
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
-
- 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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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The present invention discloses a kind of intelligent transport vehicle vehicle bottom identifying system, including identifying lane, it is fixed on the first deceleration strip of the identification lane inlet, ground induction coil in front of first deceleration strip is set, vehicle chassis scanning means in front of the ground induction coil is set, dynamic pound in front of vehicle chassis scanning means is set, the second deceleration strip in front of dynamic pound is set, and the outlet banister in front of the second deceleration strip is set, the avris in the identification lane is additionally provided with license plate video camera, weight house and connection ground induction coil, vehicle chassis scanning means, the intelligent controller of license plate video camera and weight house；This programme judges the number of axle and list double driving shafts of vehicle by the imaging of vehicle bottom and artificial intelligence image recognition, has no manual intervention, it is automatically performed imaging, identification process, with existing check weighing system seamless interfacing, realize data integrated storage, resolution 99.9%, all weather operations find the advantage of vehicle safety hidden danger by intelligent recognition and big data.
Description
Technical field
Present invention relates particularly to a kind of intelligent transport vehicle vehicle bottom identifying systems.
Background technique
In August, 2016, Ministry of Communications, the Ministry of Public Security, State Development and Reform Commission, State Administration of Quality Supervision, Inspection and Quarantine, security control office, the State Administration for Industry and Commerce, legal system
Seven ministries and commissions are done as unified law enforcement, perfecting system establishes health, specification, justice, orderly Market of Roadway Transportation, for this purpose, Ministry of Communications
" overload transport vehicle traveling highway administration regulation " (Department of Transportation enable 2016 No. 62) is put into effect.Meanwhile communications and transportation
General office, portion, general office, the Ministry of Public Security are logical about what is printed and distributed and " renovate the illegal overrun and overload behavior special campaigns scheme of highway vehicle "
Know, newest highway freight vehicle overload overload identification standard is issued in attachment, unified vehicle goods gross weight limit value assert standard, first
It is secondary propose with it is single drive and the freight weight limit standard of double drive " i.e. six axis and the above truck combination of six axis, vehicle goods gross mass are more than
49000 kilograms, wherein tractor drive shaft is uniaxial, and vehicle goods gross mass is more than 46000 kilograms ".
Overload of vehicle mainly measures weight using ground pump at present, while the vehicle number of axle is obtained by ground induction coil,
But have no idea to obtain vehicle to be single drive shaft or double driving shafts, it can only manually complete at present, therefore, for vehicle list
The detection of axis driving and Two axle drive, art technology is using " imaging of linear array scanning vehicle bottom, artificial intelligence neural network based
Deep learning algorithm " realizes the identification to Vehicle Axles and drive shaft, for solving the problems, such as that above content refers to.
Summary of the invention
In view of this, it is an object of the present invention to provide one kind to have no manual intervention, it is automatically performed imaging, identification process, with
Existing check weighing system seamless interfacing, realizes data integrated storage, resolution 99.9%, all weather operations, by intelligent recognition and
The intelligent transport vehicle vehicle bottom identifying system of big data discovery vehicle safety hidden danger.
In order to solve the above-mentioned technical problem, the technical scheme is that
A kind of intelligent transport vehicle vehicle bottom identifying system, including identification lane are fixed on the first of the identification lane inlet
Deceleration strip is arranged in ground induction coil that is in front of first deceleration strip and being embedded on the identification lane, is arranged described
Vehicle chassis scanning means that is in front of ground induction coil and being embedded on the identification lane, setting are scanned in vehicle chassis and are filled
Dynamic pound that is setting front and being embedded on identification lane, is arranged in front of dynamic pound and fixed with identification lane second
Deceleration strip, and outlet banister in front of the second deceleration strip, for interception car traveling is set, the side in the identification lane
Side is additionally provided with license plate video camera, weight house and connection ground induction coil, vehicle chassis scanning means, license plate video camera and weight house
Intelligent controller.
Further, the axis in the intelligent controller and vehicle chassis scanning means composition identification lane drives identification system
System, and identification server and picture collection server are driven by network connection axis, specific identification method step is to pass through vehicle bottom
Sweeping imaging apparatus is scanned across the automobile chassis on identification lane, and forms picture to be tested, by network by picture to be tested
It is delivered to picture collection server to carry out establishing model, then model is transmitted through the network to axis drive identification server and is judged
The axis of passed through vehicle drives quantity.
Further, the Vehicle License Plate Recognition System in the intelligent controller and license plate video camera composition identification lane.
Further, the intelligent controller connection dynamic pound and weight house, and form weighing information acquisition system.
Further, the axis drive identifying system, Vehicle License Plate Recognition System and weighing information acquisition system pass through network connection
Overload remediation supervising platform forms main system inspection station group.
A kind of scene practical recognition methods of intelligent transport vehicle vehicle bottom identifying system, comprising the following steps:
Step 1: first by the first deceleration strip, vehicle meeting reduction of speed, vehicle, which passes through the actual speed of the first deceleration strip, to be lower than
20km/h meets imaging demand；
Step 2: vehicle can touch ground induction coil after passing through the first deceleration strip, issue vehicle to system by intelligent controller and pass through
Notice, at this time Vehicle License Plate Recognition System start to work, by license plate camera-scanning license board information and identify, information back given
System；
Step 3: vehicle continues to move ahead through vehicle chassis scanning device, and vehicle chassis scanning means can support speed 50km/h
Within vehicle pass through after be capable of forming complete image, vehicle chassis scanning device is started to work shooting vehicle base map picture, to full vehicle
The synthesis that image is completed after passing through from vehicle chassis scanning device, generates complete vehicle base map picture；
Step 4: image be transmitted to axis drive identification server, first pass around image procossing, by compression of images, shearing, be fabricated to
It identifies image, judges single double driving shafts information secondly by model, driving axis information is finally returned into main system；
Step 5: vehicle continues to move ahead through dynamic pound, and the number of axle information for obtaining vehicle is incuded by tire pressure, is completed at the same time
Weighing, by information back to main system；
Step 6: the comprehensive license board information of main system, weight information, number of axle information, driving axis information judge whether vehicle overloads, such as
The part that overload needs vehicle will exceed is unloaded, and implements administrative penalty, is finally stored in the complete information of whole flow process
Database, in case query and search；
Step 7: vehicle is exported by banister, and the primary weighing detection of completion, such as overloading free phenomenon, vehicle is directly off such as generation
Overload, vehicle will be directed to unloading area, weighing detection again after being unloaded, until not sailing out of after overload.
The technology of the present invention effect major embodiment is in the following areas: this programme passes through the imaging of vehicle bottom and artificial intelligence image recognition
The number of axle and list double driving shafts for judging vehicle, have no manual intervention, are automatically performed imaging, identification process, with existing check weighing system
System seamless interfacing realizes data integrated storage, and resolution 99.9%, all weather operations, passes through intelligent recognition and big data is found
The advantage of vehicle safety hidden danger.
Detailed description of the invention
Fig. 1 is a kind of structure chart of intelligent transport vehicle vehicle bottom of the invention identifying system；
Fig. 2 is the frame diagram that axis drives identifying system；
Fig. 3 is the frame diagram of Fig. 1 main system inspection station group；
Fig. 4 is the system flow chart of the practical recognition methods in present invention scene.
Specific embodiment
Below in conjunction with attached drawing, a specific embodiment of the invention is described in further detail, so that technical solution of the present invention is more
It should be readily appreciated that and grasp.
In the present embodiment, it is to be understood that term " centre ", "upper", "lower", " top ", " right side ", " left end ",
" top ", " back side ", " middle part ", etc. instructions orientation or positional relationship be based on the orientation or positional relationship shown in the drawings, only
It is of the invention for ease of description, rather than the device or element of indication or suggestion meaning must have a particular orientation, with spy
Fixed orientation construction and operation, therefore be not considered as limiting the invention.
In addition, the connection or fixed form between component if not otherwise specified in this embodiment, connection or solid
Determine mode can for fixed by bolt commonly used in the prior art or pin fix or pin shaft connection etc. modes, therefore, this
It is not described in detail in embodiment.
A kind of intelligent transport vehicle vehicle bottom identifying system is fixed on the identification vehicle as shown in Figure 1, including identification lane 1
First deceleration strip 2 of 1 inlet of road is arranged in front of first deceleration strip 2 and is embedded on the identification lane 1
Ground induction coil 3, vehicle chassis scanning means that is that 3 front of ground induction coil is set and being embedded on the identification lane 1
4, dynamic pound 5 that is that 4 front of vehicle chassis scanning means is arranged in and being embedded on identification lane 1 is arranged before dynamic pound 5
Side and second deceleration strip 6 fixed with identification lane 1, and be arranged in 6 front of the second deceleration strip, for interception car
The outlet banister 7 of traveling, the avris in the identification lane 1 are additionally provided with license plate video camera 8, weight house 9 and connection ground induction coil
3, the intelligent controller 10 of vehicle chassis scanning means 4, license plate video camera 8 and weight house 9.
Know as shown in Fig. 2, the intelligent controller 10 drives with the axis in the composition identification of vehicle chassis scanning means 4 lane 1
Other system, and identification server and picture collection server are driven by network connection axis, specific identification method step is to pass through vehicle
Chassis scanning means 4 is scanned across the automobile chassis on identification lane 1, and forms picture to be tested, will be to be measured by network
Attempt piece and be delivered to picture collection server establish model, then by model be transmitted through the network to axis drive identification server into
Row judges that the axis of passed through vehicle drives quantity.
In conjunction with Fig. 1, the intelligent controller 10 and the Vehicle License Plate Recognition System in the composition identification of license plate video camera 8 lane 1.Institute
It states intelligent controller 10 and connects dynamic pound 5 and weight house 9, and form weighing information acquisition system.Know as shown in figure 3, the axis drives
Other system, Vehicle License Plate Recognition System and weighing information acquisition system form main system inspection by network connection overload remediation supervising platform
It stands group.
The practical recognition methods in scene of a kind of intelligent transport vehicle vehicle bottom identifying system, as shown in figure 4, including following step
It is rapid:
Step 1: first by the first deceleration strip 2, vehicle meeting reduction of speed, vehicle, which passes through the actual speed of the first deceleration strip 2, to be lower than
20km/h meets imaging demand；
Step 2: vehicle can touch ground induction coil 3 after passing through the first deceleration strip 2, issue vehicle to system by intelligent controller 9
By notice, Vehicle License Plate Recognition System is started to work at this time, is scanned and license board information and is identified by license plate video camera 8, by information
Return to system；
Step 3: vehicle continues to move ahead through vehicle chassis scanning device 4, and vehicle chassis scanning means 4 can support speed
Vehicle within 50km/h is capable of forming complete image after passing through, vehicle chassis scanning device 4, which is started to work, shoots vehicle base map picture,
The synthesis that image is completed after full vehicle passes through from vehicle chassis scanning device 4, generates complete vehicle base map picture；
Step 4: image be transmitted to axis drive identification server, first pass around image procossing, by compression of images, shearing, be fabricated to
It identifies image, judges single double driving shafts information secondly by model, driving axis information is finally returned into main system；
Step 5: vehicle continues to move ahead through dynamic pound 5, and the number of axle information for obtaining vehicle is incuded by tire pressure, is completed at the same time
Weighing, by information back to main system；
Step 6: the comprehensive license board information of main system, weight information, number of axle information, driving axis information judge whether vehicle overloads, such as
The part that overload needs vehicle will exceed is unloaded, and implements administrative penalty, is finally stored in the complete information of whole flow process
Database, in case query and search；
Step 7: vehicle is exported by banister, and the primary weighing detection of completion, such as overloading free phenomenon, vehicle is directly off such as generation
Overload, vehicle will be directed to unloading area, weighing detection again after being unloaded, until not sailing out of after overload.
The technology of the present invention effect major embodiment is in the following areas: this programme passes through the imaging of vehicle bottom and artificial intelligence image recognition
The number of axle and list double driving shafts for judging vehicle, have no manual intervention, are automatically performed imaging, identification process, with existing check weighing system
System seamless interfacing realizes data integrated storage, and resolution 99.9%, all weather operations, passes through intelligent recognition and big data is found
The advantage of vehicle safety hidden danger.
Certainly, above is representative instance of the invention, and in addition to this, the present invention can also have other a variety of specific implementations
Mode, all technical solutions formed using equivalent substitution or equivalent transformation, is all fallen within the scope of protection of present invention.
Claims (6)
1. a kind of intelligent transport vehicle vehicle bottom identifying system, it is characterised in that: including identifying lane, be fixed on the identification lane
Ground sense line that is in front of first deceleration strip and being embedded on the identification lane is arranged in first deceleration strip of inlet
Circle is arranged in vehicle chassis scanning means that is in front of the ground induction coil and being embedded on the identification lane, is arranged in vehicle
Dynamic pound that is in front of chassis scanning means and being embedded on identification lane, be arranged in it is in front of dynamic pound and with identification vehicle
The second fixed deceleration strip of road, and outlet banister in front of the second deceleration strip, for interception car traveling is set, it is described
The avris in identification lane is additionally provided with license plate video camera, weight house and connection ground induction coil, vehicle chassis scanning means, license plate and takes the photograph
The intelligent controller of camera and weight house.
2. a kind of intelligent transport vehicle vehicle bottom as described in claim 1 identifying system, it is characterised in that: the intelligent controller
With vehicle chassis scanning means form identification lane in axis drive identifying system, and by network connection axis drive identification server and
Picture collection server, specific identification method step are the automobile being scanned across on identification lane by vehicle chassis scanning means
Chassis, and picture to be tested is formed, picture to be tested is delivered to by picture collection server by network and carries out establishing model, then
Model is transmitted through the network to axis and drives the axis drive quantity that identification server is judged passed through vehicle.
3. a kind of intelligent transport vehicle vehicle bottom as described in claim 1 identifying system, it is characterised in that: the intelligent controller
The Vehicle License Plate Recognition System in identification lane is formed with license plate video camera.
4. a kind of intelligent transport vehicle vehicle bottom as described in claim 1 identifying system, it is characterised in that: the intelligent controller
Dynamic pound and weight house are connected, and forms weighing information acquisition system.
5. a kind of intelligent transport vehicle vehicle bottom identifying system as described in claim 2-4, it is characterised in that: the axis drives identification
System, Vehicle License Plate Recognition System and weighing information acquisition system form main system inspection station by network connection overload remediation supervising platform
Group.
6. a kind of practical recognition methods in scene of intelligent transport vehicle vehicle bottom identifying system, which comprises the following steps:
Step 1: first by the first deceleration strip, vehicle meeting reduction of speed, vehicle, which passes through the actual speed of the first deceleration strip, to be lower than
20km/h meets imaging demand；
Step 2: vehicle can touch ground induction coil after passing through the first deceleration strip, issue vehicle to system by intelligent controller and pass through
Notice, at this time Vehicle License Plate Recognition System start to work, by license plate camera-scanning license board information and identify, information back given
System；
Step 3: vehicle continues to move ahead through vehicle chassis scanning device, and vehicle chassis scanning means can support speed 50km/h
Within vehicle pass through after be capable of forming complete image, vehicle chassis scanning device is started to work shooting vehicle base map picture, to full vehicle
The synthesis that image is completed after passing through from vehicle chassis scanning device, generates complete vehicle base map picture；
Step 4: image be transmitted to axis drive identification server, first pass around image procossing, by compression of images, shearing, be fabricated to
It identifies image, judges single double driving shafts information secondly by model, driving axis information is finally returned into main system；
Step 5: vehicle continues to move ahead through dynamic pound, and the number of axle information for obtaining vehicle is incuded by tire pressure, is completed at the same time
Weighing, by information back to main system；
Step 6: the comprehensive license board information of main system, weight information, number of axle information, driving axis information judge whether vehicle overloads, such as
The part that overload needs vehicle will exceed is unloaded, and implements administrative penalty, is finally stored in the complete information of whole flow process
Database, in case query and search；
Step 7: vehicle is exported by banister, and the primary weighing detection of completion, such as overloading free phenomenon, vehicle is directly off such as generation
Overload, vehicle will be directed to unloading area, weighing detection again after being unloaded, until not sailing out of after overload.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910116104.1A CN109686107A (en) | 2019-02-15 | 2019-02-15 | A kind of intelligent transport vehicle vehicle bottom identifying system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910116104.1A CN109686107A (en) | 2019-02-15 | 2019-02-15 | A kind of intelligent transport vehicle vehicle bottom identifying system |
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| CN109686107A true CN109686107A (en) | 2019-04-26 |
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| CN201910116104.1A Pending CN109686107A (en) | 2019-02-15 | 2019-02-15 | A kind of intelligent transport vehicle vehicle bottom identifying system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110555999A (en) * | 2019-09-19 | 2019-12-10 | 华高数字科技有限公司 | buffer-area-based vehicle auxiliary detection method through road barrier |
| CN113963450A (en) * | 2021-09-30 | 2022-01-21 | 苏州朗为控制技术有限公司 | Vehicle driving shaft identification method |
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Application publication date: 20190426 |