CN113984163B - Visual auxiliary studying and judging method and system for weighing of truck without stopping - Google Patents
Visual auxiliary studying and judging method and system for weighing of truck without stopping Download PDFInfo
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- CN113984163B CN113984163B CN202111150438.4A CN202111150438A CN113984163B CN 113984163 B CN113984163 B CN 113984163B CN 202111150438 A CN202111150438 A CN 202111150438A CN 113984163 B CN113984163 B CN 113984163B
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- 238000005303 weighing Methods 0.000 title claims abstract description 44
- 230000000007 visual effect Effects 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000001514 detection method Methods 0.000 claims abstract description 17
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 238000004891 communication Methods 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 239000010453 quartz Substances 0.000 claims description 3
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims description 3
- 230000006399 behavior Effects 0.000 abstract 1
- 230000007547 defect Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000000725 suspension Substances 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G23/00—Auxiliary devices for weighing apparatus
- G01G23/18—Indicating devices, e.g. for remote indication; Recording devices; Scales, e.g. graduated
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Abstract
The invention discloses a visual auxiliary studying and judging method and a system for weighing a truck without stopping, which specifically comprise the following steps: step one: the vehicle triggers a driving-in signal, circularly marks a vehicle serial number, and collects vehicle information of passing vehicles; step two: acquiring video image information of a truck, wherein the video image information comprises a complete side image of the truck, and analyzing the acquired information of the passing vehicle and the video image information according to a built-in algorithm; and step three: monitoring subsequent vehicle information according to a vision auxiliary algorithm; step four: and the vehicle triggers the driving-out signal, and the matching and returning detection result is carried out according to the serial number of the vehicle. According to the invention, the reasonable design of acquiring the vehicle information and the video visual information through the weighing module can effectively solve the problem of error judgment of traditional wagon balance weighing under the conditions of approaching the vehicle and suspending the wheels when the wagon is empty, obviously enhances the judgment function of the wagon illegal behaviors, and effectively improves the vehicle detection precision.
Description
Technical Field
The invention relates to the technical field of vehicle detection, in particular to a visual auxiliary studying and judging method and system for weighing a truck without stopping.
Background
In the technical field of vehicle detection, vehicle information detection equipment needs to carry out complete evaluation on information of passing vehicles on a lane, and the state of the passing vehicles is identified through detection of the vehicle information, so that the actual condition of road traffic is grasped, and the information of passing vehicles each time is accurately identified, so that traffic safety is ensured.
In the prior art, vehicle detection equipment mainly obtains vehicle information, such as vehicle axle number, vehicle speed, weight of each axle group of a vehicle, vehicle running direction and the like, in a wagon balance weighing mode. However, in a practical scenario, there is a limit to screening vehicle information only by wagon balance. Due to the influence of the following distance and the suspension of the tires, truck information can not be identified by the weighing wagon balance at some times, and the missing of passing information in the database is caused.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and in order to achieve the aims, the visual auxiliary studying and judging method and system for the non-stop weighing of the truck are adopted to solve the problems in the background art.
A visual auxiliary studying and judging method and system for weighing a truck without stopping the truck, specifically comprising the following steps:
step one: the vehicle triggers a driving-in signal, circularly marks a vehicle serial number, and collects vehicle information of passing vehicles;
step two: acquiring video image information of a truck, wherein the video image information comprises a complete side image of the truck, and analyzing the acquired information of the passing vehicle and the video image information according to a built-in algorithm; and
step three: monitoring subsequent vehicle information according to a vision auxiliary algorithm;
step four: and the vehicle triggers the driving-out signal, and the matching and returning detection result is carried out according to the serial number of the vehicle.
As a further aspect of the invention: the specific steps for acquiring the video image information of the truck comprise the following steps:
monitoring a vehicle driving lane by arranging at least two video acquisition devices;
and adding an adjusting device of the video acquisition device, and acquiring video picture information at a preset angle.
As a further aspect of the invention: the specific steps of analyzing the acquired vehicle information and video image information according to the built-in algorithm comprise the following steps:
the lane numbers of the same vehicle in the vehicle information and the video image information are acquired for comparison, if the lane numbers are inconsistent, the vehicle is judged to be a crossing, wherein the information comprises a passing serial number, a lane number, a vehicle axle number, an axle group number, a tire type, an axle group type, a vehicle shielding state, weight, speed and direction;
slope filtering is carried out on the axle numbers sequenced in the vehicle information, and comparison is carried out on the axle numbers in the video image information; if the two images are inconsistent, judging whether the problems of approaching the vehicle or vision shielding exist; if the vehicle information is not present, the vehicle information is marked as error, the number of axles in the video image information is returned, and if the vehicle information is present, the complete video image information is returned.
As a further aspect of the invention: the specific steps for carrying out subsequent vehicle information monitoring according to the vision auxiliary algorithm comprise:
sorting the axle coordinates detected by the target detection algorithm;
performing axle set judgment and vehicle tire type judgment, wherein the tire type comprises a concave tire and a convex tire;
and comparing the set axle set type with the truck type, and judging the type.
A system comprising a vision-aided research and judgment method for non-stop weighing of a truck according to any one of the preceding claims, comprising:
the wagon balance weighing module is used for acquiring a vehicle triggering driving-in signal, marking a vehicle serial number, and acquiring vehicle passing information;
the visual image acquisition module is used for acquiring video image information which enters a plurality of lanes;
and the industrial personal computer module is used for receiving the vehicle information and the video image information, processing the information according to an algorithm and comparing the processed information.
As a further aspect of the invention: the wagon balance weighing module adopts a quartz weighing sensor and is arranged under a roadway surface.
As a further aspect of the invention: the visual image acquisition module comprises at least two groups of camera gun cameras, and the at least two groups of camera gun cameras are arranged on a lane through a gantry and used for acquiring video images in an oblique shooting angle with the running direction of a vehicle.
As a further aspect of the invention: and the industrial personal computer module is respectively in communication connection with the wagon balance weighing module and the visual image acquisition module.
Compared with the prior art, the invention has the following technical effects:
by adopting the technical scheme, the system for setting vision auxiliary weighing on the roadway comprises a wagon balance weighing module, a vision image acquisition module, a combination of related modules such as an industrial personal computer module and the like. And then processing and comparing the acquired information by utilizing a built-in algorithm built in the industrial personal computer module to give an analysis result, and returning corresponding complete and error-free data information. Through vision assistance and weighing combination, the truck detection precision is effectively improved, and the defect of weighing by a single wagon balance is overcome. Meanwhile, the vehicle following behavior can be effectively and automatically detected, a large number of pictures are prevented from being compared manually, and the labor force is effectively reduced.
Drawings
The following detailed description of specific embodiments of the invention refers to the accompanying drawings, in which:
FIG. 1 is a schematic diagram illustrating steps of a method of visual aid determination according to some embodiments of the present disclosure;
FIG. 2 is a flowchart of an algorithm built into an industrial personal computer according to some embodiments disclosed herein;
FIG. 3 is a schematic view of a field-mounted frame of some embodiments disclosed herein;
fig. 4 is a schematic view of a bolt face frame according to some embodiments of the present disclosure.
In the figure: 1. a wagon balance weighing module; 2. a visual image acquisition module; 21. camera gun camera; 22. a rotating groove; 3. the industrial personal computer module; 4. and (5) a portal frame.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 3 and 4, in an embodiment of the present invention, a system for a visual auxiliary studying and judging method for non-stop weighing of a truck includes:
the wagon balance weighing module 1 is used for acquiring a vehicle triggering driving-in signal, marking a vehicle serial number and acquiring vehicle passing information; in a specific embodiment, the wagon balance weighing module 1 adopts a quartz weighing sensor and is arranged under the road surface of the lane.
The visual image acquisition module 2 is used for acquiring video image information which enters a plurality of lanes;
in a specific embodiment, the visual image acquisition module 2 includes at least two groups of camera cameras 21, where the at least two groups of camera cameras 21 are disposed on the lane through the portal frame 4 and are used for performing video image acquisition by presenting a oblique shooting angle with the driving direction of the vehicle. As shown in fig. 4, camera gun camera 21 is fixed to brackets at both ends of portal frame 4, which include bracket and horizontal rotation groove 22 and bracket and vertical rotation groove 22. By rotating the groove 22, the picture in the camera gun camera 21 forms a certain angle with the corresponding lane, and the vehicle in the lane is completely captured.
And the industrial personal computer module 3 is used for receiving the vehicle information and the video image information, processing the information according to an algorithm and comparing the processed information.
In a specific embodiment, the industrial personal computer module 3 is respectively in communication connection with the wagon balance weighing module 1 and the visual image acquisition module 2. In the specific embodiment, the information of the wagon balance weighing module 1 obtained through serial port communication is compared with the lane information and the axle number information obtained through calculation of the vision auxiliary algorithm, and finally the information such as the passing vehicle serial number, the lane number, the axle group number, the tire type, the axle group type, the vehicle shielding state, the weight, the speed, the direction and the like is returned.
As shown in fig. 3, the system comprises a wagon balance weighing module 1, a visual image acquisition module 2, an industrial personal computer module 3, a portal frame 4, and at least two groups of camera cameras 21, a bracket for supporting the camera cameras 21 and a rotating groove 22; the support and the rotating groove 22 are respectively used for supporting at least two groups of camera gun cameras 21 to be arranged on two sides of the portal frame 4, and the camera gun cameras 21 are made to form a certain angle with a plurality of corresponding lane directions by controlling the rotation of the support and the rotating groove 22. And detecting passing vehicles in the lane 0, the lane 1, the lane 2 and the lane 3 respectively. Shooting at a certain inclination angle enables the overturned body of the corresponding lane to be completely captured by the camera gun camera 21, and fine adjustment of the bracket and the rotating groove 22 is required to adapt to a vision auxiliary algorithm aiming at scenes of other lane numbers.
As shown in fig. 1 and fig. 2, a visual auxiliary studying and judging method for weighing a truck without stopping, specifically comprising the following steps:
as shown in fig. 1, the system is first set up, the brackets are installed at two ends of the portal frame 4, the view angle of the camera gun camera 21 is a cross view angle, in order to separate from the lane 2 and the lane 3 corresponding to the position of the camera gun camera 21, or the lane 0 and the lane 1 at the opposite sides, the brackets and the rotating grooves 22 of the brackets of the camera gun camera 21 are adjusted, so that the image of the camera gun camera 21 presents a certain angle with the lane direction, and the video image should contain the complete side image of the truck.
Step one: the vehicle triggers a driving-in signal, circularly marks a vehicle serial number, and collects vehicle information of passing vehicles;
in a specific embodiment, when an entering signal is triggered when a truck enters a wagon balance terminal, the number of the entering vehicle is recorded, and particularly, the numerical value of 0-255 is recycled, the wagon balance weighing module 1 detects vehicle information, meanwhile, the auxiliary end of a camera gun 21 detects the number of lanes and axles, and all data are transmitted to an industrial personal computer for algorithm analysis
Step two: acquiring video image information of a truck, wherein the video image information comprises a complete side image of the truck, and analyzing the acquired information of the passing vehicle and the video image information according to a built-in algorithm; and
step three: monitoring subsequent vehicle information according to a vision auxiliary algorithm;
step four: and the vehicle triggers the driving-out signal, and the matching and returning detection result is carried out according to the serial number of the vehicle.
Specifically, the vehicle triggers the driving-out signal to enable the corresponding lane and the corresponding driving-in signal to be matched through the serial number of the vehicle, and the detection results of all the wagon balance weighing modules 1 and the visual image acquisition modules 2 are returned through a serial port communication mode.
In some specific embodiments, the specific step of acquiring the video image information of the truck includes:
monitoring a vehicle driving lane by arranging at least two video acquisition devices, namely a camera gun camera 21;
and adding an adjusting device of the video acquisition device, and acquiring video picture information at a preset angle.
In some specific embodiments, the specific steps of analyzing the collected vehicle information and the video image information according to the built-in algorithm include:
comparing the road number of the wagon balance weighing module 1 with the road number of the visual image acquisition module 2, and marking as a crossing road if the road number is inconsistent (if the wagon balance weighing module 1 detects a lane 0 and the visual image acquisition module 2 detects a lane 1);
slope filtering is carried out on the ordered axles, the influence of the number of axles of vehicles contained in carriages such as transport vehicles, rescue vehicles and the like on visual detection results is prevented, a y=kx+b linear equation is established by adopting two axle set coordinates close to the lowest part of a vehicle image, and if the axle set coordinates are reserved, the equation passes through the areas where the rest axle sets are located;
comparing the number of axles of the wagon balance weighing module 1 with the number of axles of the visual image acquisition module 2, if the wagon balance weighing module 1 is inconsistent (if the wagon balance weighing module 1 is detected to be 3 axles and the visual image acquisition module 2 is detected to be 4 axles), judging whether the vehicle is too close to the wagon and has the visual shielding problem, if the vehicle is not present, marking as a wagon balance error section error, adopting the visual image acquisition module 2 to transmit back, if the shielding condition exists, marking as the visual shielding, and if the wagon balance is too close to the wagon, adopting the visual image acquisition module 2 to transmit back.
In some specific embodiments, the specific step of performing subsequent vehicle information monitoring according to the vision assistance algorithm comprises:
sorting the axle coordinates detected by the target detection algorithm, and judging the attribution of each axle through the mapped inter-axle distance;
performing axle set judgment and vehicle tire type judgment, wherein the tire types comprise concave tires and convex tires, reading detection results of the tires of the visual image acquisition module 2, and setting the cam tires as category 1 and the concave tires as category 2;
and comparing the set axle set type with the truck type, and judging the type.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.
Claims (6)
1. A visual auxiliary studying and judging method for weighing a truck without stopping is characterized by comprising the following specific steps:
step one: the vehicle triggers a driving-in signal, circularly marks a vehicle serial number, and collects vehicle information of passing vehicles;
step two: acquiring video image information of a truck, wherein the video image information comprises a complete side image of the truck, and analyzing the acquired information of the passing vehicle and the video image information according to a built-in algorithm; the method for analyzing the acquired vehicle information and video image information of the passing vehicle according to the built-in algorithm comprises the following specific steps of:
the lane numbers of the same vehicle in the vehicle information and the video image information are acquired for comparison, if the lane numbers are inconsistent, the vehicle information and the video image information comprise a passing serial number, a vehicle track number, a vehicle axle number, an axle group number, a tire type, an axle group type, a vehicle shielding state, weight, speed and direction;
slope filtering is carried out on axles sequenced in the vehicle information, wherein the specific step of slope filtering is to establish a y=kx+b linear equation by adopting two axle set coordinates close to the lowest part of the vehicle image, if the axle set coordinates are reserved, the equation passes through the areas where the rest axle sets are located, and the comparison with the number of axles in the video image information is carried out; if the two images are inconsistent, judging whether the problems of approaching the vehicle or vision shielding exist; if the vehicle information is not present, marking the vehicle information as error, returning the number of axles in the video image information, and if the vehicle information is present, returning the complete video image information; and
step three: the specific steps of the follow-up vehicle information monitoring according to the vision auxiliary algorithm comprise:
sorting the axle coordinates detected by the target detection algorithm, specifically judging the attribution of each axle through the mapped inter-axle distance;
performing axle set judgment and vehicle tire type judgment, wherein the tire type comprises a concave tire and a convex tire;
comparing the set axle set type with the truck type, and judging the type;
step four: and the vehicle triggers the driving-out signal, and the matching and returning detection result is carried out according to the serial number of the vehicle.
2. The visual aid judging method for the non-stop weighing of the truck according to claim 1, wherein the specific step of acquiring the video image information of the truck comprises the following steps:
monitoring a vehicle driving lane by arranging at least two video acquisition devices;
and adding an adjusting device of the video acquisition device, and acquiring video picture information at a preset angle.
3. A system comprising a visual aid determination method for on-board weighing of a truck according to any one of claims 1 to 2, comprising:
the wagon balance weighing module is used for acquiring a vehicle triggering driving-in signal, marking a vehicle serial number, and acquiring vehicle passing information;
the visual image acquisition module is used for acquiring video image information which enters a plurality of lanes;
and the industrial personal computer module is used for receiving the vehicle information and the video image information, processing the information according to an algorithm and comparing the processed information.
4. A system for a visual aid determination method for non-stop weighing of a truck as defined in claim 3, wherein said wagon balance weighing module employs a quartz load cell and is disposed under a roadway surface.
5. The system for a visual auxiliary studying and judging method for non-stop weighing of a truck according to claim 3, wherein the visual image acquisition module comprises at least two groups of camera cameras, and the camera cameras are arranged on a lane through a gantry and are used for acquiring video images at an oblique shooting angle with the running direction of the truck.
6. The system for visual aid judging method for non-stop weighing of truck according to any one of claims 3-5, wherein the industrial personal computer module is in communication connection with the wagon balance weighing module and the visual image acquisition module respectively.
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| CN202111150438.4A CN113984163B (en) | 2021-09-29 | 2021-09-29 | Visual auxiliary studying and judging method and system for weighing of truck without stopping |
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| CN202111150438.4A CN113984163B (en) | 2021-09-29 | 2021-09-29 | Visual auxiliary studying and judging method and system for weighing of truck without stopping |
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| CN113984163B true CN113984163B (en) | 2024-03-15 |
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