CN112199369A - Body-in-white quality management method and system - Google Patents
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Abstract
The invention relates to the field of quality management, in particular to a white vehicle body quality management method and system. The method comprises the steps of obtaining a body-in-white picture corresponding to a body-in-white entity; digging a body-in-white area in the body-in-white picture; dividing the body-in-white area into a plurality of sub-areas; assigning a region code corresponding to the sub-region; establishing a data table by taking preset quality management parameters of the body-in-white as fields; acquiring a value of the quality management parameter corresponding to any sub-region; and saving the value of the quality management parameter and the part code corresponding to any sub-area to the data table. The accuracy of matching the quality parameter information of the body-in-white and the body-in-white part is improved.
Description
The invention patent with the application date of 2017, 5, 26 and the application number of 201710383892.1, which is named as a body-in-white quality management method and system, is a divisional application.
Technical Field
The invention relates to the field of quality management, in particular to a white vehicle body quality management method and system.
Background
In an automobile body manufacturing enterprise, inspection records in the automobile body manufacturing process are recorded on paper manually, then office software (such as excel) is input, and finally sorting operations such as sorting and summarizing are performed. The method consumes a great deal of energy, occupies a large amount of manpower, is slow in information updating, is not intuitive to consult, is easy to make mistakes in input data, is poor in sharing performance and slow in statistical analysis, and more importantly, a white automobile body refers to an automobile body before welding is completed and coating is not performed, does not comprise moving parts such as four doors, two covers and the like, is large in area of the whole automobile body, and does not have obvious area division, so that recorded quality parameter information is difficult to be accurately matched with specific parts in the white automobile body, specific parts with defects cannot be quickly, intuitively and accurately positioned when the white automobile body has quality problems, and production efficiency is improved.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to improve the accuracy of matching the quality parameter information of the body-in-white and the body-in-white part.
In order to solve the technical problems, the invention adopts the technical scheme that:
the invention provides a body-in-white quality management method, which comprises the following steps:
acquiring a body-in-white picture corresponding to a body-in-white entity;
digging a body-in-white area in the body-in-white picture;
dividing the body-in-white area into a plurality of sub-areas;
assigning a region code corresponding to the sub-region;
establishing a data table by taking preset quality management parameters of the body-in-white as fields;
acquiring a value of the quality management parameter corresponding to any sub-region;
and saving the value of the quality management parameter and the part code corresponding to any sub-area to the data table.
The white body quality management method has the advantages that the white body area in the white body picture is divided into the plurality of sub-areas, and each sub-area is coded, so that the quality management parameter information related to the sub-area can be recorded in the database according to the sub-area codes, when the white body has a quality problem, the defect part can be quickly, intuitively and accurately positioned according to the information recorded in the data table corresponding to the white body, and the production efficiency of the white body is improved.
The invention also provides a body-in-white quality management system, comprising:
the system comprises a dividing module, a display module and a display module, wherein the dividing module is used for acquiring a body-in-white picture corresponding to a body-in-white entity; digging a body-in-white area in the body-in-white picture; gridding the body-in-white area into a plurality of sub-areas; the side length of each grid ranges from 100 mm to 200 mm;
the numbering module is used for distributing the part codes corresponding to the sub-regions; displaying corresponding grids on the white car body picture, and marking the part number of the corresponding sub-area in each grid;
the system comprises an establishing module, a quality control module and a quality control module, wherein the establishing module is used for establishing a data table by taking preset quality management parameters of a body-in-white as fields; the quality management parameters comprise date, damage type, welding tongs number, employee number, welding core diameter, size and position code;
an input module, configured to select any one of the sub-regions, and input a value of the quality management parameter corresponding to the any one of the sub-regions;
the sending module is used for sending the employee number and the value of the quality management parameter corresponding to any sub-area by the employee client;
the storage module is used for acquiring the value of the quality management parameter corresponding to any sub-area; storing the value of the quality management parameter and a part code corresponding to any sub-area into the data table;
the counting module is used for counting the corresponding times of each damage type in a preset time period to obtain a first counting result; generating a pie chart, a bar chart or a graph according to the first statistical result;
the first early warning module is used for detecting whether the diameter of the weld nugget in the data table is within a preset standard diameter range at preset time intervals; if the detected welding core diameter is not within the preset standard diameter range, sending first early warning information to the staff client corresponding to the staff number; the first early warning information comprises date, welding tongs number and welding core diameter;
the second early warning module is used for configuring a size standard range corresponding to the part number; detecting whether the size in the data table is in the corresponding size standard range or not at preset time intervals; if the size is detected not to be in the corresponding size standard range, second early warning information is sent to the staff client corresponding to the staff number; the second early warning information comprises the part number and the corresponding size;
the analysis module is used for analyzing the quality of the body-in-white produced in a preset time period according to the data tables to obtain a quality analysis result; generating a pie chart, a bar chart or a graph according to the quality analysis result;
the display module is used for selecting any sub-region; acquiring a part number corresponding to any sub-region; and displaying records corresponding to the part numbers in the data table.
The white body quality management system has the advantages that the white body area in the white body picture is divided into the plurality of sub-areas, each sub-area is coded, so that a worker can visually, quickly and accurately identify the sub-area corresponding to a specific part of the white body entity according to the grid displayed on the white body picture, the sub-areas are selected, the obtained quality management parameter value is automatically associated with the part codes of the sub-areas, and the obtained quality management parameter value and the part codes are stored in the data table, and the efficiency of recording the quality management parameter value and the accuracy and precision of matching the quality management parameter value with the specific part of the white body entity are improved. Meanwhile, early warning can be sent out by detecting quality management parameters in a data table corresponding to the body-in-white, so that mobile office work is effectively realized, the quality condition of products is movably monitored, and the quality inspection and the production efficiency of the body-in-white are improved.
Drawings
FIG. 1 is a block flow diagram of an embodiment of a body-in-white quality management method provided by the present invention;
FIG. 2 is a block diagram of a body-in-white quality management system according to an embodiment of the present invention;
description of reference numerals:
1. a dividing module; 2. a numbering module; 3. establishing a module; 4. an input module; 5. a sending module; 6. A storage module; 7. a statistical module; 8. a first early warning module; 9. a second early warning module; 10. an analysis module; 11. and a display module.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
As shown in fig. 1, the present invention provides a body-in-white quality management method, including:
acquiring a body-in-white picture corresponding to a body-in-white entity;
digging a body-in-white area in the body-in-white picture;
dividing the body-in-white area into a plurality of sub-areas;
assigning a region code corresponding to the sub-region;
establishing a data table by taking preset quality management parameters of the body-in-white as fields;
acquiring a value of the quality management parameter corresponding to any sub-region;
and saving the value of the quality management parameter and the part code corresponding to any sub-area to the data table.
Further, the body-in-white area is divided into a plurality of sub-areas, specifically:
gridding the body-in-white area into a plurality of sub-areas; the side length range of each grid is 100 mm to 200 mm;
and displaying corresponding grids on the white car body picture, and marking the part number of the corresponding sub-area in each grid.
Further, still include:
and selecting any sub-region, and inputting the value of the quality management parameter corresponding to the any sub-region.
It can be known from the above description that the sub-region corresponding to the damaged portion of the body-in-white entity can be visually, quickly and accurately identified according to the grid displayed on the body-in-white picture, and by selecting the sub-region, the value of the input quality management parameter is automatically associated with the portion code of the sub-region and stored in the data table, thereby improving the efficiency of entering the value of the quality management parameter and the accuracy of matching the value of the quality management parameter with the damaged portion of the body-in-white entity.
Further, still include:
and the employee client sends the employee number and the value of the quality management parameter corresponding to any sub-area.
According to the description, the staff client can send the value of the quality management parameter of a specific part to the body-in-white quality management system in real time when detecting the quality of the vehicle body, so that the timeliness of the value entry of the quality management parameter is improved, and the condition of missing records is avoided.
Further, the quality management parameters include a date and a type of damage;
counting the corresponding times of each damage type within a preset time period to obtain a first statistical result;
and generating a pie chart, a bar chart or a graph according to the first statistical result.
Further, the quality management parameters comprise date, welding tongs number, staff number and welding core diameter;
detecting whether the diameter of the welding core in the data table is within a preset standard diameter range at preset time intervals;
if the detected welding core diameter is not within the preset standard diameter range, first early warning information is sent to the staff client corresponding to the staff number; the first early warning information comprises date, welding tongs number and welding core diameter.
Further, the quality management parameters include size and employee number;
configuring a size standard range corresponding to the part number;
detecting whether the size in the data table is in the corresponding size standard range or not at preset time intervals;
if the size is detected not to be in the corresponding size standard range, second early warning information is sent to the staff client corresponding to the staff number; the second early warning information comprises the part number and the corresponding size.
Further, still include:
analyzing the quality of the body-in-white produced in a preset time period according to the data tables to obtain a quality analysis result;
and generating a pie chart, a bar chart or a curve chart according to the quality analysis result.
Further, still include:
selecting any sub-region;
acquiring a part number corresponding to any sub-region;
and displaying records corresponding to the part numbers in the data table.
As can be seen from the above description, it is convenient to intuitively, quickly and accurately query the quality management parameter record of any sub-area.
As shown in fig. 2, the present invention also provides a body-in-white quality management system, comprising:
the system comprises a dividing module 1, a display module and a display module, wherein the dividing module is used for acquiring a body-in-white picture corresponding to a body-in-white entity; digging a body-in-white area in the body-in-white picture; gridding the body-in-white area into a plurality of sub-areas; the side length of each grid ranges from 100 mm to 200 mm;
a numbering module 2, configured to assign a portion code corresponding to the sub-region; displaying corresponding grids on the white car body picture, and marking the part number of the corresponding sub-area in each grid;
the building module 3 is used for building a data table by taking the preset quality management parameters of the body-in-white as fields; the quality management parameters comprise date, damage type, welding tongs number, employee number, welding core diameter, size and position code;
an input module 4, configured to select any one of the sub-regions, and input a value of the quality management parameter corresponding to the any one of the sub-regions;
a sending module 5, configured to send, by an employee client, an employee number and a value of the quality management parameter corresponding to any sub-area;
a storage module 6, configured to obtain a value of the quality management parameter corresponding to any sub-region; storing the value of the quality management parameter and a part code corresponding to any sub-area into the data table;
the counting module 7 is used for counting the corresponding times of each damage type within a preset time period to obtain a first counting result; generating a pie chart, a bar chart or a graph according to the first statistical result;
the first early warning module 8 is used for detecting whether the diameter of the weld nugget in the data table is within a preset standard diameter range at preset time intervals; if the detected welding core diameter is not within the preset standard diameter range, sending first early warning information to the staff client corresponding to the staff number; the first early warning information comprises date, welding tongs number and welding core diameter;
the second early warning module 9 is used for configuring a size standard range corresponding to the part number; detecting whether the size in the data table is in the corresponding size standard range or not at preset time intervals; if the size is detected not to be in the corresponding size standard range, second early warning information is sent to the staff client corresponding to the staff number; the second early warning information comprises the part number and the corresponding size;
the analysis module 10 is used for analyzing the quality of the body-in-white produced in a preset time period according to the data tables to obtain a quality analysis result; generating a pie chart, a bar chart or a curve chart according to the quality analysis result;
the display module 11 is used for selecting any sub-region; acquiring a part number corresponding to any sub-region; and displaying records corresponding to the part numbers in the data table.
The first embodiment of the invention is as follows:
the embodiment provides a body-in-white quality management method, which comprises the following steps:
s1, acquiring a body-in-white picture corresponding to a body-in-white entity; digging a body-in-white area in the body-in-white picture; dividing the body-in-white area into a plurality of sub-areas; assigning a region code corresponding to the sub-region;
the white body area is divided into a plurality of sub-areas, specifically:
gridding the body-in-white area into a plurality of sub-areas; the side length range of each grid is 100 mm to 200 mm; displaying corresponding grids on the white car body picture, and marking the part number of the corresponding sub-area in each grid;
for example, the body-in-white area except the background in the body-in-white picture is divided into 63 sub-areas, and corresponding part codes are marked in each grid, so that staff can quickly, intuitively and accurately match the corresponding sub-areas when inputting quality management parameters;
s2, establishing a data table by taking the preset quality management parameters of the body-in-white as fields; the quality management parameters comprise date, damage type, welding tongs number, employee number, welding core diameter, size and part code;
wherein, the damage types comprise scratches, bumps, pits, grinding marks and the like;
s3, selecting any sub-region, and inputting the value of the quality management parameter corresponding to the sub-region to a body-in-white quality management system;
for example, clicking a sub-region with the middle part code of 46 in a picture of the body-in-white with a mouse, inputting the value of each quality management parameter in a preset input box, the system automatically binds the part code 46 with the newly input value, and stores the values in a data table corresponding to the body-in-white in a form of a record.
Or the employee client sends the employee number and the value of the quality management parameter corresponding to any sub-area to a body-in-white quality management system;
s4, acquiring the value of the quality management parameter corresponding to any sub-area; saving the value of the quality management parameter and a part code corresponding to any sub-area to the data table;
s5, counting the corresponding times of each damage type in a preset time period to obtain a first statistical result; generating a pie chart, a bar chart or a graph according to the first statistical result;
s6, detecting whether the diameter of the welding core in the data table is within a preset standard diameter range or not at preset time intervals; if the detected welding core diameter is not within the preset standard diameter range, first early warning information is sent to the staff client corresponding to the staff number; the first early warning information comprises date, welding tongs number and welding core diameter;
among them, since the nugget diameter that can be achieved when the welding tongs are used for welding operation is related to the current environmental parameters and the voltage, current, etc. of the welding tongs, the quality defect of the body-in-white can be caused if the welding tongs, of which the nugget diameter is outside the preset standard diameter range, are used for producing the body-in-white. Therefore, each welding tongs on the production line is numbered, the number of each worker corresponds to the number of each welding tongs, each worker measures the diameter of a welding core of each operated welding tongs through a test piece test before starting work, then works formally on the white vehicle body, the quality of the white vehicle body is improved, meanwhile, the diameter testing parameters of the welding core before starting work are recorded to the white vehicle body management system, the later-period quality of the white vehicle body is improved, whether the welding core is caused by the unqualified diameter of the welding tongs when a certain part of the white vehicle body is in a problem is rapidly checked, and the later-period quality inspection or maintenance efficiency is improved.
S7, configuring a size standard range corresponding to the part number; detecting whether the sizes in the data table are in the corresponding size standard range or not at preset time intervals; if the size is detected not to be in the corresponding size standard range, second early warning information is sent to the staff client corresponding to the staff number; the second early warning information comprises the part number and the corresponding size;
wherein, if door and front pillar clearance, door and side wall face are poor, door planking lower edge exceeds the size standard range than side wall planking lower edge dislocation, door top edge fall-in, door upper corner fall-in before, door upper corner fall-in after, door and side wall clearance, door planking and hinge plane face are poor etc. size, then the quality problems easily appear when splicing with other parts in white automobile body, consequently, record size information is favorable to the white certain position of automobile body quality in later stage to find out fast when the problem appears whether by the unqualified size at this position arouses, improve the efficiency that later stage quality was examined or was maintained.
S8, analyzing the quality of the body-in-white produced in a preset time period according to the data tables to obtain a quality analysis result; generating a pie chart, a bar chart or a graph according to the quality analysis result;
s9, selecting any sub-region; acquiring a part number corresponding to any sub-region; and displaying records corresponding to the part numbers in the data table.
The second embodiment of the invention is as follows:
the present embodiment provides a body-in-white quality management system including:
the dividing module 1 acquires a body-in-white picture corresponding to a body-in-white entity; digging a body-in-white area in the body-in-white picture; gridding the body-in-white area into a plurality of sub-areas; the side length of each grid ranges from 100 mm to 200 mm; the numbering module 2 allocates part codes corresponding to the sub-regions; displaying corresponding grids on the white car body picture, and marking part numbers of corresponding sub-areas in each grid; the establishing module 3 establishes a data table by taking the preset quality management parameters of the body-in-white as fields; the quality management parameters comprise date, damage type, welding tongs number, employee number, welding core diameter, size and part code;
selecting any sub-region through an input module 4, and inputting a value of the quality management parameter corresponding to the any sub-region; or sending the employee number and the value of the quality management parameter corresponding to any sub-area through a sending module 5 of the employee client; the storage module 6 acquires the value of the quality management parameter corresponding to any sub-area; saving the value of the quality management parameter and a part code corresponding to any sub-area to the data table;
the counting module 7 counts the corresponding times of each damage type in a preset time period to obtain a first counting result; generating a pie chart, a bar chart or a graph according to the first statistical result;
detecting whether the diameter of a weld nugget in the data table is within a preset standard diameter range or not through a first early warning module 8 at a preset time interval; if the detected welding core diameter is not within the preset standard diameter range, sending first early warning information to the staff client corresponding to the staff number; the first early warning information comprises date, welding tongs number and welding core diameter;
configuring a size standard range corresponding to the part number; detecting whether the size in the data table is in the corresponding size standard range or not through a second early warning module 9 at a preset time interval; if the size is detected not to be in the corresponding size standard range, second early warning information is sent to the staff client corresponding to the staff number; the second early warning information comprises the part number and the corresponding size;
the analysis module 10 analyzes the quality of the body-in-white produced in a preset time period according to the plurality of data tables to obtain a quality analysis result; generating a pie chart, a bar chart or a graph according to the quality analysis result;
the display module 11 selects any sub-region; acquiring a part number corresponding to any sub-region; and displaying records corresponding to the part numbers in the data table.
In summary, according to the body-in-white quality management method and system provided by the invention, the body-in-white area in the body-in-white picture is divided into the plurality of sub-areas, and each sub-area is coded, so that the staff can intuitively, quickly and accurately identify the sub-area corresponding to a specific part of the body-in-white entity according to the grid displayed on the body-in-white picture, automatically associate the obtained quality management parameter value with the part code of the sub-area by selecting the sub-area, and store the value into the data table, thereby improving the efficiency of entering the quality management parameter value and the accuracy and precision of matching the quality management parameter value with the specific part of the body-in-white entity. Meanwhile, an early warning can be sent out by detecting quality management parameters in a data table corresponding to the body-in-white, so that mobile office work is effectively realized, the quality condition of products is movably monitored, and the quality inspection and production efficiency of the body-in-white are improved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields are included in the scope of the present invention.
Claims (10)
1. A body-in-white quality management method, characterized by comprising:
acquiring a body-in-white picture corresponding to a body-in-white entity;
digging a body-in-white area in the body-in-white picture;
dividing the body-in-white area into a plurality of sub-areas;
assigning a region code corresponding to the sub-region;
establishing a data table by taking preset quality management parameters of the body-in-white as fields;
acquiring a value of the quality management parameter corresponding to any sub-area, wherein the quality management parameter comprises date and damage types, and the damage types comprise scratches, bumps, pits and grinding marks;
and saving the value of the quality management parameter and the part code corresponding to any sub-area to the data table.
2. The body-in-white quality management method according to claim 1, further comprising:
and selecting any sub-region, and inputting the value of the quality management parameter corresponding to the any sub-region.
3. The body-in-white quality management method according to claim 1, further comprising:
and the employee client sends the employee number and the value of the quality management parameter corresponding to any sub-area.
4. The body-in-white quality management method according to claim 1, further comprising:
counting the corresponding times of each damage type within a preset time period to obtain a first statistical result;
and generating a pie chart, a bar chart or a graph according to the first statistical result.
5. The body-in-white quality management method according to claim 1, wherein the quality management parameters include date, electrode holder number, employee number, nugget diameter;
detecting whether the diameter of the welding core in the data table is within a preset standard diameter range at preset time intervals;
if the detected welding core diameter is not within the preset standard diameter range, first early warning information is sent to the staff client corresponding to the staff number; the first early warning information comprises date, welding tongs number and welding core diameter.
6. The body-in-white quality management method according to claim 1, wherein the quality management parameters include a size and a staff number;
configuring a size standard range corresponding to the part number;
detecting whether the size in the data table is in the corresponding size standard range or not at preset time intervals;
if the size is detected not to be in the corresponding size standard range, second early warning information is sent to the staff client corresponding to the staff number; the second early warning information comprises the part number and the corresponding size.
7. The body-in-white quality management method according to claim 1, further comprising:
analyzing the quality of the body-in-white produced in a preset time period according to the data tables to obtain a quality analysis result;
and generating a pie chart, a bar chart or a curve chart according to the quality analysis result.
8. The body-in-white quality management method according to claim 1, further comprising:
selecting any sub-region;
acquiring a part number corresponding to any sub-region;
and displaying records corresponding to the part numbers in the data table.
9. The body-in-white quality management method according to claim 1, wherein the body-in-white area is divided into a plurality of sub-areas, specifically:
gridding the body-in-white area into a plurality of sub-areas; the side length range of each grid is 100 mm to 200 mm;
and displaying corresponding grids on the white car body picture, and marking the part numbers of the corresponding sub-areas in each grid.
10. A body-in-white quality management system, comprising:
the system comprises a dividing module, a display module and a display module, wherein the dividing module is used for acquiring a body-in-white picture corresponding to a body-in-white entity; digging a body-in-white area in the body-in-white picture; gridding the body-in-white area into a plurality of sub-areas; the side length range of each grid is 100 mm to 200 mm;
the numbering module is used for distributing the part codes corresponding to the sub-regions; displaying corresponding grids on the white car body picture, and marking part numbers of corresponding sub-areas in each grid;
the system comprises an establishing module, a quality control module and a quality control module, wherein the establishing module is used for establishing a data table by taking preset quality management parameters of a body-in-white as fields; the quality management parameters comprise date, damage type, welding tongs number, employee number, welding core diameter, size and part code;
the input module is used for selecting any sub-region and inputting the value of the quality management parameter corresponding to the sub-region;
the sending module is used for sending the employee number and the value of the quality management parameter corresponding to any sub-area by the employee client;
the storage module is used for acquiring the value of the quality management parameter corresponding to any sub-area; saving the value of the quality management parameter and a part code corresponding to any sub-area to the data table;
the counting module is used for counting the corresponding times of each damage type in a preset time period to obtain a first counting result; generating a pie chart, a bar chart or a graph according to the first statistical result;
the first early warning module is used for detecting whether the diameter of the weld nugget in the data table is within a preset standard diameter range at preset time intervals; if the detected welding core diameter is not within the preset standard diameter range, first early warning information is sent to the staff client corresponding to the staff number; the first early warning information comprises date, welding tongs number and welding core diameter;
the second early warning module is used for configuring a size standard range corresponding to the part number; detecting whether the size in the data table is in the corresponding size standard range or not at preset time intervals; if the size is detected not to be in the corresponding size standard range, second early warning information is sent to the staff client corresponding to the staff number; the second early warning information comprises the part number and the corresponding size;
the analysis module is used for analyzing the quality of the body-in-white produced in a preset time period according to the data tables to obtain a quality analysis result; generating a pie chart, a bar chart or a graph according to the quality analysis result; the display module is used for selecting any sub-region; acquiring a part number corresponding to any sub-region; and displaying records corresponding to the part numbers in the data table.
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| CN112719124B (en) * | 2021-01-27 | 2022-12-27 | 东风汽车集团股份有限公司 | Stamping synchronous engineering method, system and medium for improving appearance quality of body-in-white |
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| CN112199368A (en) | 2021-01-08 |
| CN112199369B (en) | 2022-06-03 |
| CN112199368B (en) | 2022-06-03 |
| CN107273441B (en) | 2020-07-28 |
| CN107273441A (en) | 2017-10-20 |
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