CN116993690A - Automatic detection method for automobile chassis assembly quality - Google Patents
Automatic detection method for automobile chassis assembly quality Download PDFInfo
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- CN116993690A CN116993690A CN202310933822.4A CN202310933822A CN116993690A CN 116993690 A CN116993690 A CN 116993690A CN 202310933822 A CN202310933822 A CN 202310933822A CN 116993690 A CN116993690 A CN 116993690A
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- chassis
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- identification
- vehicle
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- 238000001514 detection method Methods 0.000 title claims abstract description 52
- 238000011179 visual inspection Methods 0.000 claims abstract description 25
- 241000156302 Porcine hemagglutinating encephalomyelitis virus Species 0.000 claims abstract description 12
- 238000009434 installation Methods 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims abstract description 8
- 238000007689 inspection Methods 0.000 claims description 12
- 230000000007 visual effect Effects 0.000 claims description 9
- 238000009413 insulation Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 239000003292 glue Substances 0.000 claims description 5
- 230000000903 blocking effect Effects 0.000 claims description 3
- 239000003973 paint Substances 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 5
- 238000004026 adhesive bonding Methods 0.000 description 5
- 239000011521 glass Substances 0.000 description 3
- 229910000831 Steel Inorganic materials 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000010959 steel Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000011895 specific detection Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/001—Industrial image inspection using an image reference approach
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30164—Workpiece; Machine component
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
Abstract
An automatic detection method for the assembly quality of an automobile chassis is characterized in that a vehicle type matching template is established, VIN code sequences are pulled, the vehicle type is judged, a PHEV matching process is operated, and part characteristics are identified; and then judging the mounting quality of the parts and analyzing the data. According to the invention, the visual inspection bench is arranged to realize the installation quality detection of parts of the automobile production line, so that the investment of quality personnel is reduced, the working efficiency is greatly improved, the occurrence of the condition of error leakage detection can be effectively avoided, and the detection accuracy is improved.
Description
Technical Field
The invention relates to a technology in the field of vehicle vision detection, in particular to an automatic detection method for automobile chassis assembly quality.
Background
In order to avoid quality problems in the automobile assembly process, the prior art should need to detect the automobile during assembly, but a plurality of structural components on the existing manufacturing production line all need to be detected manually, so that the mode has larger defects, such as more parts on the automobile, slower manual detection speed, serious influence on detection efficiency, lower manual detection precision and easy occurrence of the condition of missing and detecting detection.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an automatic detection method for the assembly quality of the automobile chassis, and the installation quality detection of parts of an automobile production line is realized by arranging the visual inspection table, so that the investment of quality personnel is reduced, the working efficiency is greatly improved, the occurrence of the condition of error leakage detection can be effectively avoided, and the detection accuracy is improved.
The invention is realized by the following technical scheme:
the invention relates to an automatic detection method for the assembly quality of an automobile chassis, which comprises the following steps:
s1, establishing a model matching template: pre-programming a template matched with a vehicle type to be detected;
s2, pulling VIN code sequences: the VIN code sequence of the vehicle is obtained through a visual detection camera and is transmitted into a control cabinet, and the VIN code sequence is stored and recorded;
s3, judging the type of the vehicle: identifying, analyzing and judging the model of the vehicle to be detected through the VIN code sequence obtained in the step S2;
s4, running a PHEV matching flow: when the model of the vehicle to be detected is determined to be PHEV in the step S3, the PHEV template is operated through the control cabinet, and the vehicle to be detected is comprehensively detected;
s5, identifying part characteristics: the recognition positions of the parts of the vehicle are photographed and recognized by the vision cameras,
the shooting is carried out, the chassis of the vehicle is divided into N areas, and M photos are shot for each area;
the identification comprises the following steps: bolt identification, wire harness identification, pipeline identification, glue blocking identification, heat insulation pad identification, hoop identification, plug connector identification and tire identification VIN code sequence identification;
s6, judging the mounting quality of the parts: judging and detecting the self detection of the parts identified in the step S5 and the quality detection of the part installation;
s7, analyzing the data interpreted in the step S6, displaying the detection data through a front-end interface if the data are qualified, storing the data into a database, alarming through an alarm to remind that the detection data are abnormal if the data are unqualified, and storing the abnormal data into the database.
The invention relates to an automatic detection system for the assembly quality of an automobile chassis, which realizes the method, and comprises the following steps: the chassis line inspection system comprises a chassis visual inspection platform, a chassis line fence arranged on the chassis visual inspection platform, a chassis line fence safety door arranged on an upper cover of the chassis line fence, a chassis line visual PC cabinet arranged on the chassis visual inspection platform outside the chassis line fence, a chassis line robot arranged on the chassis visual inspection platform in the chassis line fence and a chassis line PLC control cabinet arranged on the chassis visual inspection platform in the chassis line fence.
Four correlation switches are arranged at the upper end of the chassis wire fence,
the lower extreme of chassis line robot be equipped with chassis line robot matched with chassis line robot base, this chassis line robot base and chassis line robot control cabinet wireless connection, this chassis line robot control cabinet sets up in the chassis line rail chassis vision inspection bench on.
The chassis line fence is internally provided with a chassis line visual detection camera, and the lower end of the chassis line visual detection camera is fixedly connected to a mechanical arm of the chassis line robot.
The chassis line rail is made of high-strength steel, two lifting machines for lifting the vehicle to be detected are arranged on the chassis visual inspection bench, and the two lifting machines are respectively located at two sides of the chassis line rail.
The upper end of the chassis vision inspection bench is provided with two chassis wire slots, and the chassis wire robot base is slidably connected in the two chassis wire slots.
Drawings
FIG. 1 is a schematic diagram of a system according to the present invention;
FIG. 2 is a vehicle detection state diagram of an embodiment;
FIG. 3 is a flow chart of the present invention;
FIG. 4 is a view of a chassis region division according to the present invention;
in the figure: 1 chassis line rail emergency exit, 2 chassis line rail, 3 chassis line vision PC cabinets, 4 correlation switches, 5 chassis line robots, 6 chassis line robot base, 7 chassis line robot control cabinet, 8 chassis line PLC control cabinet, 9 chassis line trunking, 10 chassis line vision detection cameras.
Detailed Description
As shown in fig. 3, the method for automatically detecting the assembly quality of the chassis of the automobile according to the embodiment includes: the following detection steps are carried out:
s1, building a model matching template, wherein a technician compiles and generates templates matched with a model to be detected in advance, such as a PHEV model template, an HEV model template and a V51 model template, and after the templates are built, the whole vehicle is conveyed to a detection line;
s2, pulling a VIN code sequence, acquiring the VIN code sequence of a vehicle through a visual detection camera, transmitting the VIN code sequence into a control cabinet, and storing and recording the VIN code sequence, wherein V is also called a vehicle identification code and comprises vehicle information;
s3, judging the model of the vehicle, and identifying, analyzing and judging the model of the vehicle to be detected through the VIN code sequence obtained in the step S2;
s4, running a PHEV matching flow, and in the step S3, if the model of the vehicle to be detected is judged to be the PHEV, running a PHEV template through a control cabinet, and comprehensively detecting the vehicle to be detected;
s5, identifying part characteristics, identifying parts of the vehicle through a visual camera, wherein the identifying items comprise: nine major terms: bolt recognition, wire harness recognition, pipeline recognition, glue blocking recognition, heat insulation pad recognition, hoop recognition, plug connector recognition and tire recognition VIN code sequence recognition, wherein a visual camera is used for shooting pictures of recognition positions, a vehicle chassis is divided into N areas during shooting, M pictures are shot for each area, a robot and a vehicle move, the robot shoots at a certain time node (with a parameter table), M pictures are shot for each area, M is N pictures are shot, errors are reduced, and different detection parameters are set for each area;
s6, judging the quality of the part installation, judging and detecting the quality of the parts identified in the step S5, wherein the method comprises the following steps: detecting parts per se and detecting the mounting quality of the parts;
s7, analyzing the data, namely analyzing the data interpreted in the step S6, displaying detection data through a front-end interface if the data are qualified, storing the data into a database, alarming through an alarm to remind that the detection data are abnormal if the data are unqualified, and storing the abnormal data into the database;
in this embodiment, the specific detection range of step S5 is as follows, the bolt: whether the bolt is good or not is checked, whether the bolt is good or not (comprising a bolt head part, a rear thread and a bolt assembly quality is determined according to the condition of the concrete bolt), whether skew exists or not and the like is determined according to the allowable shooting angle of a field vehicle type; wire harness: whether the wire harness clip is interfered or not; and (3) a pipeline: pipeline wiring; thermal insulation pad: detecting whether a heat insulation pad buckle or a plastic bolt exists or not, and detecting whether the tightening stroke meets the requirement or not; and (3) hooping: detecting whether the hoop exists or not, and detecting whether the hoop is on the identification line or not; inner installation; plug connector: detecting whether the plug connector exists or not and detecting whether paint exists or not.
As shown in fig. 1, fig. 2 and fig. 4, this embodiment relates to an automatic detection system for assembly quality of an automobile chassis for implementing the method, including: the chassis vision inspection bench is provided with a chassis line fence 2 at the upper end, a chassis line fence safety door 1 is arranged on the upper cover of the chassis line fence 2, a chassis line vision PC cabinet 3 is arranged on the chassis vision inspection bench positioned outside the chassis line fence 2, four correlation switches 4 are arranged at the upper end of the chassis line fence 2, a chassis line robot 5 is arranged on the chassis vision inspection bench positioned in the chassis line fence 2, a chassis line PLC control cabinet is arranged on the chassis vision inspection bench positioned in the chassis line fence 2, a chassis line robot base 6 is arranged at the lower end of the chassis line robot 5, the chassis line robot base 6 is matched with the chassis line robot 5, a chassis line robot control cabinet 7 is arranged on the chassis vision inspection bench positioned in the chassis line fence 2, the chassis line robot control cabinet 7 is connected with the chassis line robot 5 by wireless, the chassis line rail 2 is internally provided with a chassis line visual inspection camera 10, the lower end of the chassis line visual inspection camera 10 is fixedly connected to a mechanical arm of the chassis line robot 5, the chassis line rail 2 is made of high-strength steel, the chassis visual inspection bench is provided with two lifting machines for lifting a vehicle to be inspected, the two lifting machines are respectively positioned at two sides of the chassis line rail 2, the upper end of the chassis visual inspection bench is provided with two chassis line slots 9, the chassis line robot base 6 is slidably connected in the two chassis line slots 9, the detection line is also provided with a glass gluing visual inspection station, the glass gluing visual inspection station is mainly used for detecting the glue height, the width and the broken glue of glass in the gluing process of a gluing tower and mainly used for moving the gluing robot, the detection line is also provided with a tire visual inspection station, and the tire visual inspection station is mainly used for detecting the size of a tire, the spoke shape is detected and the corresponding vehicle type information is matched.
Compared with the prior art, the invention realizes the installation quality detection of the parts of the automobile production line by arranging the visual inspection bench, constructing the visual inspection system by adopting the Leadervm framework and combining the independently developed pattern matching algorithm model and carrying out matching recognition by the characteristics and the pixel blocks, thereby reducing the investment of quality personnel, greatly improving the working efficiency, effectively avoiding the occurrence of the condition of error detection and improving the detection precision; through setting VIN code function, can acquire the motorcycle type sequence and the software intercommunication in the MES server to reach the purpose of discernment motorcycle type, ensure that the detection flow of operation accords with the motorcycle type, when VIN code in the software and the motorcycle type sequence in the MES server are inconsistent, can click the jump number, manual the calibration to VIN to ensure the accuracy of VIN code, through setting up the MES database, in order to obtain the motorcycle type sequence, can import and export, backup the engineering.
The foregoing embodiments may be partially modified in numerous ways by those skilled in the art without departing from the principles and spirit of the invention, the scope of which is defined in the claims and not by the foregoing embodiments, and all such implementations are within the scope of the invention.
Claims (6)
1. An automatic detection method for the assembly quality of an automobile chassis is characterized by comprising the following steps: the following detection steps are carried out:
s1, establishing a model matching template: pre-programming a template matched with a vehicle type to be detected;
s2, pulling VIN code sequences: the VIN code sequence of the vehicle is obtained through a visual detection camera and is transmitted into a control cabinet, and the VIN code sequence is stored and recorded;
s3, judging the type of the vehicle: identifying, analyzing and judging the model of the vehicle to be detected through the VIN code sequence obtained in the step S2;
s4, running a PHEV matching flow: when the model of the vehicle to be detected is determined to be PHEV in the step S3, the PHEV template is operated through the control cabinet, and the vehicle to be detected is comprehensively detected;
s5, identifying part characteristics: the recognition positions of the parts of the vehicle are photographed and recognized by the vision cameras,
the shooting is carried out, the chassis of the vehicle is divided into N areas, and M photos are shot for each area;
the identification comprises the following steps: bolt identification, wire harness identification, pipeline identification, glue blocking identification, heat insulation pad identification, hoop identification, plug connector identification and tire identification VIN code sequence identification;
s6, judging the mounting quality of the parts: judging and detecting the self detection of the parts identified in the step S5 and the quality detection of the part installation;
s7, analyzing the data interpreted in the step S6, displaying the detection data through a front-end interface if the data are qualified, storing the data into a database, alarming through an alarm to remind that the detection data are abnormal if the data are unqualified, and storing the abnormal data into the database.
2. The automatic detection method for the assembly quality of the automobile chassis according to claim 1, wherein the step S6 includes: checking whether the bolt exists or not, and checking whether the bolt is perfect or not and the assembling quality of the bolt; wire harness: whether the wire harness clip is interfered or not; and (3) a pipeline: pipeline wiring; thermal insulation pad: detecting whether a heat insulation pad buckle or a plastic bolt exists or not, and detecting whether the tightening stroke meets the requirement or not; and (3) hooping: detecting whether the hoop exists or not, and detecting whether the hoop is on the identification line or not; inner installation; plug connector: detecting whether the plug connector exists or not and detecting whether paint exists or not.
3. An automotive chassis assembly quality automatic detection system implementing the method of claim 1 or 2, comprising: the chassis line inspection system comprises a chassis visual inspection platform, a chassis line fence arranged on the chassis visual inspection platform, a chassis line fence safety door arranged on an upper cover of the chassis line fence, a chassis line visual PC cabinet arranged on the chassis visual inspection platform outside the chassis line fence, a chassis line robot arranged on the chassis visual inspection platform in the chassis line fence and a chassis line PLC control cabinet arranged on the chassis visual inspection platform in the chassis line fence.
4. The automatic detection system for the assembly quality of the automobile chassis according to claim 3, wherein four correlation switches are arranged at the upper end of the chassis wire fence; a chassis line visual inspection camera is arranged in the chassis line fence, and the lower end of the chassis line visual inspection camera is fixedly connected to a mechanical arm of the chassis line robot.
5. The automatic detection system for the assembly quality of the automobile chassis according to claim 3, wherein a chassis line robot base matched with the chassis line robot is arranged at the lower end of the chassis line robot, the chassis line robot base is in wireless connection with a chassis line robot control cabinet, and the chassis line robot control cabinet is arranged on a chassis vision inspection bench in a chassis line fence.
6. The automatic detection system for the assembly quality of the automobile chassis according to claim 3, wherein the chassis vision inspection bench is provided with two lifting machines for lifting the automobile to be inspected, and the two lifting machines are respectively positioned at two sides of the chassis line fence; the upper end of the chassis vision inspection bench is provided with two chassis wire slots, and the chassis wire robot base is slidably connected in the two chassis wire slots.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310933822.4A CN116993690A (en) | 2023-07-27 | 2023-07-27 | Automatic detection method for automobile chassis assembly quality |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310933822.4A CN116993690A (en) | 2023-07-27 | 2023-07-27 | Automatic detection method for automobile chassis assembly quality |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116993690A true CN116993690A (en) | 2023-11-03 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310933822.4A Pending CN116993690A (en) | 2023-07-27 | 2023-07-27 | Automatic detection method for automobile chassis assembly quality |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116993690A (en) |
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2023
- 2023-07-27 CN CN202310933822.4A patent/CN116993690A/en active Pending
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