CN116664699B - Automobile production line data management system and method - Google Patents
Automobile production line data management system and method Download PDFInfo
- Publication number
- CN116664699B CN116664699B CN202310921184.4A CN202310921184A CN116664699B CN 116664699 B CN116664699 B CN 116664699B CN 202310921184 A CN202310921184 A CN 202310921184A CN 116664699 B CN116664699 B CN 116664699B
- Authority
- CN
- China
- Prior art keywords
- standard
- production line
- target
- verification
- continuous
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 296
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000013523 data management Methods 0.000 title claims abstract description 18
- 238000012795 verification Methods 0.000 claims abstract description 150
- 230000002159 abnormal effect Effects 0.000 claims abstract description 38
- 238000012797 qualification Methods 0.000 claims abstract description 30
- 238000012545 processing Methods 0.000 claims description 36
- 230000005856 abnormality Effects 0.000 claims description 30
- 238000013439 planning Methods 0.000 claims description 26
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims description 3
- 238000010223 real-time analysis Methods 0.000 claims description 2
- 239000000758 substrate Substances 0.000 abstract description 9
- 238000001514 detection method Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 6
- 238000013461 design Methods 0.000 description 3
- 239000000047 product Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000006227 byproduct Substances 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003466 welding Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/66—Analysis of geometric attributes of image moments or centre of gravity
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Quality & Reliability (AREA)
- General Factory Administration (AREA)
- Automobile Manufacture Line, Endless Track Vehicle, Trailer (AREA)
Abstract
The invention relates to the technical field of data management, and particularly discloses an automobile production line data management system and method. The standard calibration method comprises the steps of carrying out standard calibration on a target standard component at a standard station to obtain standard center data; carrying out production line calibration on the target standard component at the production line station to obtain production line center data; marking the qualified production line center data as target center data; performing production line verification and recording on the target component at the production line station to generate verification record data; when the verification is continuous, a plurality of continuous abnormal parts are marked, and standard verification is performed on the standard station. The standard calibration can be carried out on the target standard component at the standard station, the qualification judgment of the production line calibration can be carried out at the production line station, the qualified target center data is marked, and further, the production line verification and recording are carried out based on the target center data, so that the automatic calibration and verification of the center are realized, the substrate is not required to be manually pasted, the calibration error can be eliminated, and the accurate detection verification is carried out.
Description
Technical Field
The invention belongs to the technical field of data management, and particularly relates to an automobile production line data management system and method.
Background
The production line of the automobile comprises the working procedures of welding, stamping, coating, power assembly and the like. In the automobile production line, the production line of automobile parts is more abundant except for the final assembly production line of automobiles.
The automobile camera production line is a very complex automobile accessory production line.
In the prior art, the center point of the camera is detected, the comparison detection is required to be carried out according to the substrate manually pasted by a worker, the substrate pasting is usually carried out during product trial production, and due to errors between a trial production line and a formal production line and errors between different production lines, the pasted substrate is low in accuracy and cannot be accurately detected and verified.
Disclosure of Invention
The embodiment of the invention aims to provide an automobile production line data management system and method, and aims to solve the problems in the background technology.
In order to achieve the above object, the embodiment of the present invention provides the following technical solutions:
the data management method of the automobile production line specifically comprises the following steps:
determining a target component and a corresponding target standard component, and carrying out standard calibration on the target standard component at a standard station to obtain standard center data;
before production is started, carrying out production line calibration on the target standard component at a production line station to obtain production line center data;
based on the standard center data, judging whether the production line center data is qualified or not, and marking the production line center data which is judged to be qualified as target center data;
after production begins, carrying out production line verification and recording on the target component at a production line station based on the target center data, and generating verification record data;
and carrying out verification continuous abnormality judgment on the verification record data, marking a plurality of continuous abnormal parts when the verification continuous abnormality exists, and carrying out standard verification on the standard station.
As a further limitation of the technical solution of the embodiment of the present invention, the determining the target component and the corresponding target standard component, and standard calibrating the target standard component at the standard station, the obtaining standard center data specifically includes the following steps:
acquiring production planning information of automobile part production;
analyzing the production planning information to determine a target component and a corresponding target standard component;
standard calibration is carried out on the target standard component at a standard station to obtain a standard calibration image;
and carrying out center recognition on the standard calibration image to obtain standard center data.
As a further limitation of the technical solution of the embodiment of the present invention, before the production starts, the production line calibration is performed on the target standard component at the production line station, and the obtaining of the production line center data specifically includes the following steps:
before starting production, determining a production line station for producing automobile parts;
in the production line station, carrying out production line calibration on the target standard component to obtain a production line calibration image;
and carrying out center identification on the production line calibration image to obtain production line center data.
As a further limitation of the technical solution of the embodiment of the present invention, the step of performing qualification judgment on the line center data based on the standard center data, and marking the line center data qualified as target center data specifically includes the following steps:
acquiring qualified error data corresponding to the target standard component;
constructing a standard coordinate system according to the standard center data;
marking a standard error boundary corresponding to the qualified error data in the standard coordinate system;
and on the basis of the standard error boundary, judging whether the line center data is qualified or not, and marking the line center data which is judged to be qualified as target center data.
As a further limitation of the technical solution of the embodiment of the present invention, the step of performing qualification judgment on the line center data based on the standard error boundary, and marking the line center data qualified as target center data specifically includes the following steps:
marking a production line center point corresponding to the production line center data in the standard coordinate system;
carrying out projection coincidence on the center point of the production line and the standard error boundary to generate a corresponding projection coincidence image;
identifying the projection coincidence image, and judging whether the center point of the production line is positioned in the standard error boundary;
and when the production line center point is positioned in the standard error boundary, judging that the production line center data is qualified, and marking the production line center point as target center data.
As a further limitation of the technical solution of the embodiment of the present invention, after the start of production, based on the target center data, the production line verification and recording are performed on the target component at the production line station, and the generation of verification record data specifically includes the following steps:
after the production is started, a target coordinate system is constructed according to the target center data;
in the production line station, carrying out production line verification on the target component through the target coordinate system;
acquiring verification result information corresponding to production line verification;
and updating and recording the verification result information to generate verification record data.
As a further limitation of the technical solution of the embodiment of the present invention, the performing verification continuous anomaly determination on the verification record data, when there is a verification continuous anomaly, marking a plurality of continuous anomaly components, and performing standard verification on a standard station specifically includes the following steps:
carrying out verification continuous abnormality judgment on the verification record data;
determining a number of consecutive anomalies when there is a verification of consecutive anomalies;
comparing the continuous abnormal quantity with a preset standard continuous quantity;
and when the continuous abnormal number is larger than the standard continuous number, marking a plurality of continuous abnormal parts, and carrying out standard verification on the standard station.
The system comprises a standard calibration processing unit, a production line calibration processing unit, a qualification judgment processing unit, a component verification recording unit and a continuous exception processing unit, wherein:
the standard calibration processing unit is used for determining a target component and a corresponding target standard component, and carrying out standard calibration on the target standard component at a standard station to obtain standard center data;
the production line calibration processing unit is used for carrying out production line calibration on the target standard component at the production line station before production begins, and obtaining production line center data;
the qualification judgment processing unit is used for performing qualification judgment on the production line center data based on the standard center data, and marking the production line center data which are judged to be qualified as target center data;
the component verification recording unit is used for carrying out production line verification and recording on the target component at a production line station based on the target center data after starting production, and generating verification recording data;
and the continuous anomaly processing unit is used for carrying out verification continuous anomaly judgment on the verification record data, marking a plurality of continuous anomaly parts when the verification continuous anomaly exists, and carrying out standard verification on the standard station.
As a further limitation of the technical solution of the embodiment of the present invention, the standard calibration processing unit specifically includes:
the planning acquisition module is used for acquiring production planning information of automobile part production;
the planning analysis module is used for analyzing the production planning information and determining a target component and a corresponding target standard component;
the standard calibration module is used for carrying out standard calibration on the target standard component at a standard station to obtain a standard calibration image;
and the center identification module is used for carrying out center identification on the standard calibration image to acquire standard center data.
As a further limitation of the technical solution of the embodiment of the present invention, the qualification judging and processing unit specifically includes:
the error data acquisition module is used for acquiring qualified error data corresponding to the target standard component;
the coordinate system construction module is used for constructing a standard coordinate system according to the standard center data;
the boundary marking module is used for marking a standard error boundary corresponding to the qualified error data in the standard coordinate system;
and the qualification judging module is used for performing qualification judgment on the production line center data based on the standard error boundary and marking the production line center data which are judged to be qualified as target center data.
Compared with the prior art, the invention has the beneficial effects that:
(1) According to the invention, firstly, standard calibration is carried out on a target standard component at a standard station to obtain standard center data, then, production line calibration is carried out at a production line station to obtain production line center data, after qualification judgment is carried out, the qualified production line center data is marked as target center data, and further, production line verification and recording are carried out based on the target center data, so that automatic calibration and verification of the center are realized, a substrate is not required to be manually pasted, calibration errors can be eliminated, and thus, accurate detection verification is carried out;
(2) The invention can carry out verification continuous abnormality judgment on verification record data, marks a plurality of continuous abnormal parts when the verification continuous abnormality exists, carries out standard verification on the standard station, realizes automatic continuous abnormality judgment and standard verification processing, can discover the problem of the production line station in time, and avoids larger loss caused by product verification errors.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present invention.
Fig. 2 shows a flowchart of standard calibration of a target standard component in the method provided by the embodiment of the invention.
Fig. 3 shows a flowchart of calibration of a production line of a target standard component in the method according to the embodiment of the invention.
Fig. 4 shows a flowchart of the qualification judgment of the center data of the production line in the method provided by the embodiment of the invention.
Fig. 5 shows a flowchart of a target center data marking in a method according to an embodiment of the present invention.
Fig. 6 shows a flowchart of performing production line verification and recording in the method according to the embodiment of the present invention.
FIG. 7 shows a flow chart of a method for validating continuous exception handling in accordance with an embodiment of the present invention.
Fig. 8 shows an application architecture diagram of a system provided by an embodiment of the present invention.
FIG. 9 shows a block diagram of a standard calibration processing unit in a system according to an embodiment of the present invention.
Fig. 10 is a block diagram showing a structure of a qualification judgment processing unit in the system according to the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It can be appreciated that in the prior art, the center point of the camera needs to be detected according to the comparison of the substrates manually pasted by the staff, the substrate pasting is usually performed during product trial production, and due to errors between the trial production line and the formal production line and errors between different production lines, the pasted substrates are not high in accuracy and cannot be accurately detected and verified.
In order to solve the problems, according to the embodiment of the invention, the standard calibration is carried out on the target standard component at the standard station by determining the target component and the target standard component, so that the standard center data is obtained; carrying out production line calibration on the target standard component at the production line station to obtain production line center data; marking the qualified production line center data as target center data; performing production line verification and recording on the target component at the production line station to generate verification record data; when the verification is continuous, a plurality of continuous abnormal parts are marked, and standard verification is performed on the standard station. The standard calibration can be carried out on the target standard component at the standard station, the qualification judgment of the production line calibration can be carried out at the production line station, the qualified target center data is marked, and further, the production line verification and recording are carried out based on the target center data, so that the automatic calibration and verification of the center are realized, the substrate is not required to be manually pasted, the calibration error can be eliminated, and the accurate detection verification is carried out.
Fig. 1 shows a flowchart of a method provided by an embodiment of the present invention.
Specifically, in a preferred embodiment provided by the present invention, an automotive production line data management method specifically includes the following steps:
step S101, determining a target component and a corresponding target standard component, and carrying out standard calibration on the target standard component at a standard station to obtain standard center data.
In the embodiment of the invention, after the design of the automobile camera with one model is finished, the trial production of the automobile camera is required, the relevant planning is carried out before the formal trial production and production are carried out, the production planning information of the production of the automobile part is distributed, the object identification is carried out on the production planning information by receiving the distributed production planning information, the model of the automobile camera is extracted, the target part and the corresponding target standard part are determined, and then in the trial production process, the target standard part is firstly subjected to standard calibration on the standard position, the target standard part is connected with the target standard part after being correctly clamped on the standard position, the standard calibration image shot by the target standard part on the standard position is obtained, and then the standard center identification is carried out on the standard calibration image, so that the standard center data corresponding to the target standard part is obtained.
It can be understood that the target component is a model of automobile camera to be manufactured and produced in a trial mode, and the center point of the target component needs to be detected; the target standard component is a standard component of a certain type of automobile camera, and the center point of the target standard component completely meets the design requirement.
Specifically, fig. 2 shows a flowchart of standard calibration of a target standard component in the method provided by the embodiment of the invention.
In the preferred embodiment provided by the invention, the determining the target component and the corresponding target standard component, and standard calibration is performed on the target standard component at a standard station, and the obtaining of standard center data specifically includes the following steps:
step S1011, obtaining production planning information for the production of the automobile parts.
Step S1012, analyzing the production planning information to determine a target component and a corresponding target standard component.
And step S1013, standard calibration is carried out on the target standard component at the standard station, and a standard calibration image is obtained.
And step S1014, carrying out center recognition on the standard calibration image to acquire standard center data.
Further, the data management method for the automobile production line further comprises the following steps:
step S102, before production begins, carrying out production line calibration on the target standard component at a production line station to obtain production line center data.
In the embodiment of the invention, after trial production is completed, formal production of the target component is required, the production line position for producing the target component is determined before production begins, the target standard component is accurately clamped on the production line position, production line calibration is started, the production line calibration image shot by the target standard component on the production line position is acquired by connecting the target standard component, and then center identification is carried out on the production line calibration image, so that production line center data corresponding to the target standard component is acquired.
Specifically, fig. 3 shows a flowchart of calibration of a production line of a target standard component in the method provided by the embodiment of the invention.
In the preferred embodiment provided by the invention, before the production is started, the target standard component is calibrated in a production line station, and the step of obtaining the production line center data specifically comprises the following steps:
step S1021, before starting production, determining the production line station of the automobile part production.
And step S1022, carrying out production line calibration on the target standard component at the production line station to obtain a production line calibration image.
Step S1023, center identification is carried out on the production line calibration image, and production line center data are obtained.
Further, the data management method for the automobile production line further comprises the following steps:
and step S103, based on the standard center data, judging the qualification of the production line center data, and marking the qualified production line center data as target center data.
According to the method, qualified error data are determined according to a shooting wide angle of a target standard component, a shooting distance of the target standard component and a positioning error between a production line position and a standard position, a standard coordinate system is built according to standard center data by taking a corresponding shooting center point as a coordinate origin, marking of a standard error boundary is further carried out according to an error direction and an error distance corresponding to the qualified error data in the standard coordinate system, then a production line center point corresponding to the production line center data is determined and marked in the standard coordinate system, a corresponding projection superposition image is generated by carrying out projection superposition on the production line center point and the standard error boundary, and then the projection superposition image is identified, so that whether the production line center point in the projection superposition image is located in the standard error boundary is judged, and if the production line center point is located in the standard error boundary, the production line center data is judged to be qualified, and the production line center point is marked as the target center data; and when the center point of the production line is not positioned in the standard error boundary, judging that the center data of the production line is unqualified.
Specifically, fig. 4 shows a flowchart of the qualification judgment of the center data of the production line in the method provided by the embodiment of the invention.
In a preferred embodiment of the present invention, the step of determining whether the line center data is qualified based on the standard center data, and marking the line center data that is determined to be qualified as target center data specifically includes the following steps:
step S1031, obtaining qualified error data corresponding to the target standard component.
And S1032, constructing a standard coordinate system according to the standard center data.
And step S1033, marking standard error boundaries corresponding to the qualified error data in the standard coordinate system.
And step S1034, based on the standard error boundary, judging the qualification of the production line center data, and marking the qualified production line center data as target center data.
Specifically, fig. 5 shows a flowchart of a target center data tag in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the step of determining whether the line center data is qualified based on the standard error boundary, and marking the line center data that is determined to be qualified as target center data specifically includes the following steps:
and step S10341, marking a production line center point corresponding to the production line center data in the standard coordinate system.
And step S10342, carrying out projection superposition on the center point of the production line and the standard error boundary, and generating a corresponding projection superposition image.
And step S10343, identifying the projection coincidence image, and judging whether the center point of the production line is positioned in the standard error boundary.
And step S10344, when the production line center point is positioned in the standard error boundary, judging that the production line center data is qualified, and marking the production line center data as target center data.
Further, the data management method for the automobile production line further comprises the following steps:
step S104, after the production is started, performing production line verification and recording on the target component at a production line station based on the target center data, and generating verification record data.
In the embodiment of the invention, under the condition that the center data of the production line is qualified, the formal production of the target component is started, a target coordinate system is constructed by taking the corresponding shooting center point as the origin of coordinates according to the center data of the target, and then when the center point verification of the production of the target component is carried out on the production line station, the production line verification is carried out on the target component by taking the target coordinate system as a reference, whether the center point shot by the target component coincides with the origin of the target coordinate system is judged, and if so, the verification is successful; if the verification is not coincident, the verification fails, corresponding verification result information (verification result information is verification success or verification failure) is generated, and the verification result information is updated and recorded to generate verification record data.
Specifically, fig. 6 shows a flowchart of performing production line verification and recording in the method provided by the embodiment of the invention.
In a preferred embodiment of the present invention, after the start of production, the production line verification and recording are performed on the target component at a production line station based on the target center data, and the generation of verification record data specifically includes the following steps:
step S1041, after the start of production, constructing a target coordinate system according to the target center data.
In step S1042, in the production line station, the production line verification is performed on the target component through the target coordinate system.
Step S1043, obtaining verification result information corresponding to the production line verification.
Step S1044, performing update recording on the verification result information, and generating verification record data.
Further, the data management method for the automobile production line further comprises the following steps:
and step S105, performing verification continuous abnormality judgment on the verification record data, marking a plurality of continuous abnormal parts when the verification continuous abnormality exists, and performing standard verification on the standard station.
In the embodiment of the invention, whether continuous verification abnormality exists or not is judged by carrying out real-time analysis on verification record data, when continuous verification abnormality exists, the continuous abnormality number is updated and determined, whether the continuous abnormality number is larger than the preset standard continuous number or not is judged by comparing the continuous abnormality number with the preset standard continuous number, when the continuous abnormality number is larger than the standard continuous number, the production line station is judged to possibly have equipment abnormality, the target part corresponding to the continuous abnormality number is marked as the continuous abnormality part, standard verification is carried out on the continuous abnormality part on the standard station, if the standard verification of the continuous abnormality parts is passed, the continuous abnormality parts are indicated to be normal parts, and the production line station is judged to have equipment abnormality at the moment; if the standard verification of the plurality of continuous abnormal parts is not passed, the plurality of continuous abnormal parts are indicated to be the abnormal parts, and the production line station is judged to be normal.
Specifically, fig. 7 shows a flowchart of verifying continuous exception handling in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the determining of the verification continuous abnormality of the verification record data, when the verification continuous abnormality exists, marks a plurality of continuous abnormality components, and performing standard verification on standard stations specifically includes the following steps:
step S1051, performing verification continuous anomaly determination on the verification record data.
Step S1052, when there is a verification of continuous abnormality, determines the number of continuous abnormalities.
Step S1053, comparing the continuous abnormal number with a preset standard continuous number.
And step S1054, marking a plurality of continuous abnormal parts when the continuous abnormal number is larger than the standard continuous number, and performing standard verification on the standard station.
Further, fig. 8 shows an application architecture diagram of the system provided by the embodiment of the present invention.
In another preferred embodiment of the present invention, the data management system for an automobile production line includes:
and the standard calibration processing unit 101 is used for determining a target component and a corresponding target standard component, and carrying out standard calibration on the target standard component at a standard station to acquire standard center data.
In the embodiment of the invention, after the design of an automobile camera of one model is finished, trial production of the automobile camera is required, relevant planning is carried out before formal trial production and production are carried out, production planning information of automobile part production is issued, the standard calibration processing unit 101 carries out object recognition on the production planning information by receiving the issued production planning information, the model of the automobile camera is extracted, a target part and a corresponding target standard part are determined, and then in the trial production process, the target standard part is firstly subjected to standard calibration on a standard station, the target standard part is connected with the target standard part after being correctly clamped on the standard station, a standard calibration image shot by the target standard part on the standard station is obtained, and then the standard center data corresponding to the target standard part is obtained by carrying out center recognition on the standard calibration image.
Specifically, fig. 9 shows a block diagram of a standard calibration processing unit 101 in the system according to the embodiment of the present invention.
In a preferred embodiment of the present invention, the standard calibration processing unit 101 specifically includes:
and the planning acquisition module 1011 is used for acquiring production planning information of the automobile part production.
And the planning analysis module 1012 is used for analyzing the production planning information and determining target components and corresponding target standard components.
And the standard calibration module 1013 is configured to perform standard calibration on the target standard component at a standard station, and obtain a standard calibration image.
The center recognition module 1014 is configured to perform center recognition on the standard calibration image, and obtain standard center data.
Further, the automobile production line data management system further comprises:
and the production line calibration processing unit 102 is used for carrying out production line calibration on the target standard component at a production line station before production begins, and obtaining production line center data.
In the embodiment of the invention, after trial production is completed, formal production of the target component is required, before production is started, a production line position for producing the target component is determined, after the target standard component is correctly clamped on the production line position, the production line calibration processing unit 102 starts to perform production line calibration, a production line calibration image shot on the production line position by the target standard component is acquired by connecting the target standard component, center identification is performed on the production line calibration image, and production line center data corresponding to the target standard component is acquired.
And a qualification judgment processing unit 103, configured to perform qualification judgment on the line center data based on the standard center data, and mark the line center data that is judged to be qualified as target center data.
In the embodiment of the invention, a qualification judging and processing unit 103 determines qualified error data according to a shooting wide angle of a target standard component, a shooting distance of the target standard component and a positioning error between a production line position and a standard position, and constructs a standard coordinate system by taking a corresponding shooting center point as a coordinate origin according to standard center data, further marks a standard error boundary according to an error direction and an error distance corresponding to the qualified error data in the standard coordinate system, determines and marks a production line center point corresponding to the production line center data in the standard coordinate system, generates a corresponding projection superposition image by carrying out projection superposition on the production line center point and the standard error boundary, and then identifies the projection superposition image to judge whether the production line center point in the projection superposition image is positioned in the standard error boundary, wherein when the production line center point is positioned in the standard error boundary, the production line center data is judged to be qualified, and the production line center data is marked as target center data; and when the center point of the production line is not positioned in the standard error boundary, judging that the center data of the production line is unqualified.
Specifically, fig. 10 shows a block diagram of the qualification processing unit 103 in the system according to the embodiment of the present invention.
In a preferred embodiment of the present invention, the qualification processing unit 103 specifically includes:
and the error data acquisition module 1031 is used for acquiring qualified error data corresponding to the target standard component.
And the coordinate system construction module 1032 is configured to construct a standard coordinate system according to the standard center data.
And a boundary marking module 1033, configured to mark, in the standard coordinate system, a standard error boundary corresponding to the qualified error data.
And a qualification module 1034, configured to perform qualification judgment on the line center data based on the standard error boundary, and mark the line center data that is qualified as target center data.
Further, the automobile production line data management system further comprises:
and the component verification recording unit 104 is used for carrying out production line verification and recording on the target component at a production line station based on the target center data after the production is started, and generating verification record data.
In the embodiment of the present invention, when the production line center data is qualified, the component verification recording unit 104 starts to perform formal production of the target component, constructs a target coordinate system according to the target center data by taking a corresponding shooting center point as a coordinate origin, and further performs production line verification on the target component by taking the target coordinate system as a reference when performing center point verification of production of the target component on the production line station, and determines whether the center point shot by the target component coincides with the origin of the target coordinate system, if so, the verification is successful; if the verification is not coincident, the verification fails, corresponding verification result information (verification result information is verification success or verification failure) is generated, and the verification result information is updated and recorded to generate verification record data.
And a continuous anomaly processing unit 105 for performing continuous anomaly judgment for the verification record data, marking a plurality of continuous anomaly parts when continuous anomaly is verified, and performing standard verification at a standard station.
In the embodiment of the present invention, the continuous anomaly processing unit 105 determines whether there is a continuous anomaly in verification by analyzing the verification record data in real time, updates and determines the continuous anomaly number when there is a continuous anomaly in verification, determines whether the continuous anomaly number is greater than a preset standard continuous number by comparing the continuous anomaly number with the preset standard continuous number, determines that the line station may have an equipment anomaly when the continuous anomaly number is greater than the standard continuous number, marks a target component corresponding to the continuous anomaly number as a continuous anomaly component, performs standard verification on the continuous anomaly component on the standard station, and indicates that the continuous anomaly component is a normal component if the standard verification of the continuous anomaly components is all passed, and determines that the line station has the equipment anomaly at this time; if the standard verification of the plurality of continuous abnormal parts is not passed, the plurality of continuous abnormal parts are indicated to be the abnormal parts, and the production line station is judged to be normal.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (6)
1. The data management method for the automobile production line is characterized by comprising the following steps of:
determining a target component and a corresponding target standard component, and carrying out standard calibration on the target standard component at a standard station to obtain standard center data;
before production is started, carrying out production line calibration on the target standard component at a production line station to obtain production line center data;
based on the standard center data, judging whether the production line center data is qualified or not, and marking the production line center data which is judged to be qualified as target center data;
after production begins, carrying out production line verification and recording on the target component at a production line station based on the target center data, and generating verification record data;
performing verification continuous abnormality judgment on the verification record data, marking a plurality of continuous abnormal parts when the verification continuous abnormality exists, and performing standard verification on a standard station;
marking the qualified production line center data as target center data specifically comprises the following steps:
acquiring qualified error data corresponding to the target standard component;
constructing a standard coordinate system according to the standard center data;
marking a standard error boundary corresponding to the qualified error data in the standard coordinate system;
based on the standard error boundary, performing qualification judgment on the production line center data, and marking the qualified production line center data as target center data;
marking the qualified production line center data as target center data specifically comprises the following steps:
marking a production line center point corresponding to the production line center data in the standard coordinate system;
carrying out projection coincidence on the center point of the production line and the standard error boundary to generate a corresponding projection coincidence image;
identifying the projection coincidence image, and judging whether the center point of the production line is positioned in the standard error boundary;
when the production line center point is positioned in the standard error boundary, judging that the production line center data is qualified, and marking the production line center point as target center data;
the standard verification at the standard station specifically comprises the following steps:
carrying out verification continuous abnormality judgment on the verification record data;
determining a number of consecutive anomalies when there is a verification of consecutive anomalies;
comparing the continuous abnormal quantity with a preset standard continuous quantity;
when the continuous abnormal number is larger than the standard continuous number, marking a plurality of continuous abnormal parts, and carrying out standard verification on the standard station;
judging whether the continuous verification record data are abnormal or not by real-time analysis, updating and determining the continuous abnormal quantity when the continuous verification record data are abnormal, judging whether the continuous abnormal quantity is larger than the preset standard continuous quantity by comparing the continuous abnormal quantity with the preset standard continuous quantity, judging that the production line station possibly has equipment abnormality when the continuous abnormal quantity is larger than the standard continuous quantity, carrying out standard verification on the continuous abnormal component on the standard station by marking a target component corresponding to the continuous abnormal quantity as the continuous abnormal component, and indicating that the continuous abnormal component is a normal component if the standard verification of the continuous abnormal components is passed; if the standard verification of the plurality of continuous abnormal parts is not passed, the plurality of continuous abnormal parts are indicated to be the abnormal parts, and the production line station is judged to be normal.
2. The method for managing data of an automobile production line according to claim 1, wherein the determining the target component and the corresponding target standard component, standard calibrating the target standard component at a standard station, and obtaining standard center data specifically comprises the following steps:
acquiring production planning information of automobile part production;
analyzing the production planning information to determine a target component and a corresponding target standard component;
standard calibration is carried out on the target standard component at a standard station to obtain a standard calibration image;
and carrying out center recognition on the standard calibration image to obtain standard center data.
3. The method for managing data of an automobile production line according to claim 1, wherein the step of performing line calibration on the target standard component at a line station before starting production, and acquiring line center data specifically comprises the steps of:
before starting production, determining a production line station for producing automobile parts;
in the production line station, carrying out production line calibration on the target standard component to obtain a production line calibration image;
and carrying out center identification on the production line calibration image to obtain production line center data.
4. The method for managing data of an automobile production line according to claim 1, wherein after the start of production, the production line verification and recording are performed on the target component at a production line station based on the target center data, and the verification record data is generated specifically comprising the steps of:
after the production is started, a target coordinate system is constructed according to the target center data;
in the production line station, carrying out production line verification on the target component through the target coordinate system;
acquiring verification result information corresponding to production line verification;
and updating and recording the verification result information to generate verification record data.
5. The automobile production line data management system is characterized by comprising a standard calibration processing unit, a production line calibration processing unit, a qualification judgment processing unit, a component verification recording unit and a continuous exception processing unit, wherein:
the standard calibration processing unit is used for determining a target component and a corresponding target standard component, and carrying out standard calibration on the target standard component at a standard station to obtain standard center data;
the production line calibration processing unit is used for carrying out production line calibration on the target standard component at the production line station before production begins, and obtaining production line center data;
the qualification judgment processing unit is used for performing qualification judgment on the production line center data based on the standard center data, and marking the production line center data which are judged to be qualified as target center data;
the component verification recording unit is used for carrying out production line verification and recording on the target component at a production line station based on the target center data after starting production, and generating verification recording data;
the continuous anomaly processing unit is used for carrying out verification continuous anomaly judgment on the verification record data, marking a plurality of continuous anomaly parts when the verification continuous anomaly exists, and carrying out standard verification on the standard station;
the qualification judgment processing unit specifically includes:
the error data acquisition module is used for acquiring qualified error data corresponding to the target standard component;
the coordinate system construction module is used for constructing a standard coordinate system according to the standard center data;
the boundary marking module is used for marking a standard error boundary corresponding to the qualified error data in the standard coordinate system;
the qualification judging module is used for performing qualification judgment on the production line center data based on the standard error boundary, and marking the qualified production line center data as target center data;
the continuous anomaly processing unit judges whether continuous anomaly exists or not by analyzing the verification record data in real time, updates and determines the continuous anomaly quantity when the continuous anomaly exists, judges whether the continuous anomaly quantity is larger than a preset standard continuous quantity by comparing the continuous anomaly quantity with the preset standard continuous quantity, judges that the production line station possibly has equipment anomaly when the continuous anomaly quantity is larger than the standard continuous quantity, marks a target component corresponding to the continuous anomaly quantity as a continuous anomaly component, performs standard verification on the continuous anomaly component on the standard station, and indicates that the continuous anomaly components are normal components if the standard verification of the continuous anomaly components is passed, and judges that the production line station has equipment anomaly at the moment; if the standard verification of the plurality of continuous abnormal parts is not passed, the plurality of continuous abnormal parts are indicated to be the abnormal parts, and the production line station is judged to be normal.
6. The system according to claim 5, wherein the standard calibration processing unit specifically comprises:
the planning acquisition module is used for acquiring production planning information of automobile part production;
the planning analysis module is used for analyzing the production planning information and determining a target component and a corresponding target standard component;
the standard calibration module is used for carrying out standard calibration on the target standard component at a standard station to obtain a standard calibration image;
and the center identification module is used for carrying out center identification on the standard calibration image to acquire standard center data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310921184.4A CN116664699B (en) | 2023-07-26 | 2023-07-26 | Automobile production line data management system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310921184.4A CN116664699B (en) | 2023-07-26 | 2023-07-26 | Automobile production line data management system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116664699A CN116664699A (en) | 2023-08-29 |
| CN116664699B true CN116664699B (en) | 2023-10-24 |
Family
ID=87724446
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310921184.4A Active CN116664699B (en) | 2023-07-26 | 2023-07-26 | Automobile production line data management system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116664699B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106643567A (en) * | 2016-12-08 | 2017-05-10 | 广州汽车集团股份有限公司 | Lane deviation system production line calibration board verification method and system |
| CN114520911A (en) * | 2022-02-17 | 2022-05-20 | 电子科技大学成都学院 | Measurement abnormality recognition control method, computer device, and storage medium |
| CN116452676A (en) * | 2023-04-03 | 2023-07-18 | 南京百舸争流网络科技有限公司 | Camera calibration method, device, equipment and readable storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7627197B2 (en) * | 2003-04-07 | 2009-12-01 | Honda Motor Co., Ltd. | Position measurement method, an apparatus, a computer program and a method for generating calibration information |
-
2023
- 2023-07-26 CN CN202310921184.4A patent/CN116664699B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106643567A (en) * | 2016-12-08 | 2017-05-10 | 广州汽车集团股份有限公司 | Lane deviation system production line calibration board verification method and system |
| CN114520911A (en) * | 2022-02-17 | 2022-05-20 | 电子科技大学成都学院 | Measurement abnormality recognition control method, computer device, and storage medium |
| CN116452676A (en) * | 2023-04-03 | 2023-07-18 | 南京百舸争流网络科技有限公司 | Camera calibration method, device, equipment and readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 车用铜铝合金发动机轴承尺寸测量标准分析;张建臻;世界有色金属;第65-66页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116664699A (en) | 2023-08-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107808831B (en) | Whole-course traceable semiconductor test data recording method | |
| CN109361562B (en) | Automatic testing method based on associated network equipment access | |
| US8473256B2 (en) | System and method for providing a digital three-dimensional data model | |
| CN115561249B (en) | Intelligent monitoring method and system for spraying equipment | |
| CN116664699B (en) | Automobile production line data management system and method | |
| CN114520911A (en) | Measurement abnormality recognition control method, computer device, and storage medium | |
| CN116630974B (en) | Quick marking processing method and system for building image data | |
| EP3591483B1 (en) | Method, device and positioning system for positioning a sensor | |
| KR20200141274A (en) | Position Verification Method for Equipment Layout at 3D Design of Smart Factory | |
| US11674978B2 (en) | Measurement system and method for operating a measurement system | |
| CN113391194A (en) | Printed circuit board testing method and device | |
| CN113269268A (en) | Data matching method and system based on big data and cloud platform | |
| CN113848826A (en) | Automatic vehicle offline method, device, equipment and storage medium | |
| CN112529883A (en) | Patch detection method and device based on image edge recognition | |
| CN113378810A (en) | Screw locking detection method, device, equipment and readable storage medium | |
| CN112327800A (en) | Vehicle detection method and device and diagnosis equipment | |
| CN113253006A (en) | Detection method and device for bill module bottom plate, computer equipment and storage medium | |
| CN109449096B (en) | Method for identifying and detecting wafer chip | |
| CN118149903B (en) | Liquid cooling electric pile monitoring method, system and equipment | |
| CN112070705B (en) | Camera evaluation method and device and storage medium | |
| CN114872926A (en) | Electrical line installation detection method, system, storage medium and electronic device | |
| CN116699313B (en) | Multi-branch line fault self-checking method and device for line protection | |
| CN113358172B (en) | Method, device, equipment and medium for automatically setting electromechanical synchronization of water meter | |
| CN116091553B (en) | Track determination method, track determination device, electronic equipment, vehicle and storage medium | |
| CN114459350B (en) | PCB board intellectual detection system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |