CN114880845A - Method and device for correcting assembly data of parts - Google Patents

Method and device for correcting assembly data of parts Download PDF

Info

Publication number
CN114880845A
CN114880845A CN202210446444.2A CN202210446444A CN114880845A CN 114880845 A CN114880845 A CN 114880845A CN 202210446444 A CN202210446444 A CN 202210446444A CN 114880845 A CN114880845 A CN 114880845A
Authority
CN
China
Prior art keywords
data
assembly
correction
correcting
prediction
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.)
Withdrawn
Application number
CN202210446444.2A
Other languages
Chinese (zh)
Inventor
史晓贵
万健
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Bozhon Precision Industry Technology Co Ltd
Original Assignee
Bozhon Precision Industry Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Bozhon Precision Industry Technology Co Ltd filed Critical Bozhon Precision Industry Technology Co Ltd
Priority to CN202210446444.2A priority Critical patent/CN114880845A/en
Publication of CN114880845A publication Critical patent/CN114880845A/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
    • 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)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • General Factory Administration (AREA)

Abstract

The embodiment of the invention discloses a method and a device for correcting assembly data of parts. The correction method comprises the following steps: acquiring assembly data of the target part before assembly and measurement data after assembly and completion of each process; according to the assembly data, determining prediction data of the target part before each process is completed after the target part is assembled; determining correction data according to the prediction data, the measurement data and the assembly data; and correcting the assembly data according to the correction data. The method and the device for correcting the part assembly data can improve the reliability of the assembly data.

Description

Method and device for correcting assembly data of parts
Technical Field
The embodiment of the invention relates to a data correction technology, in particular to a method and a device for correcting assembly data of parts.
Background
For the assembling equipment, a plurality of parts are required to be assembled, and various data parameters of the parts in the assembling process need to be ensured to be accurate so as to better ensure the performance of the assembling equipment.
At present, the existing part assembly data is usually obtained by measuring the parts before assembly, and because the parts are influenced by factors such as pressure and the like in the assembly process, the assembly data of the parts, such as thickness, may change, so that the reliability of the data obtained by directly measuring the parts before assembly is low.
Disclosure of Invention
The embodiment of the invention provides a method and a device for correcting assembly data of parts, which are used for improving the reliability of the assembly data.
In a first aspect, an embodiment of the present invention provides a method for correcting component assembly data, including:
acquiring assembly data of the target part before assembly and measurement data after assembly and completion of each process;
according to the assembly data, determining prediction data of the target part before each process is completed after the target part is assembled;
determining correction data according to the prediction data and the measurement data;
and correcting the assembly data according to the correction data.
Optionally, determining the predicted data of the target component before each manufacturing process is completed after assembly includes:
inputting the assembly data and the size parameters of the target parts into a preset data prediction model;
and taking data output by the preset data prediction model as prediction data.
Optionally, determining the correction data according to the prediction data and the measurement data includes:
the measured data and the predicted data are subjected to difference to obtain a data difference value;
and taking the data difference value as correction data.
Optionally, modifying the assembly data according to the modification data includes:
and if the correction data is smaller than the preset data threshold, taking the sum of the correction data and the assembly data as new assembly data to correct the assembly data.
Optionally, modifying the assembly data according to the modification data includes:
and if the correction data is larger than the preset data threshold value, sending a prompt.
Optionally, after the assembly data is corrected according to the correction data, the method includes:
and analyzing and processing the correction data determined for multiple times so as to optimize the corrected assembly data.
Optionally, after obtaining assembly data of the target component before assembly and measurement data after assembly and completion of each manufacturing process, the method includes:
and storing the assembly data and the measurement data in a preset database table.
Optionally, after the assembly data is corrected according to the correction data, the method includes:
each data is displayed graphically.
In a second aspect, an embodiment of the present invention further provides a device for correcting component assembly data, including:
the data acquisition module is used for acquiring assembly data of the target part before assembly and measurement data after assembly and completion of each manufacturing process;
the prediction data determining module is used for determining prediction data of the target part before each process is finished after the target part is assembled according to the assembly data;
the correction data determining module is used for determining correction data according to the prediction data and the measurement data;
and the data correction module is used for correcting the assembly data according to the correction data.
Optionally, the prediction data determining module includes:
the data input unit is used for inputting the assembly data and the size parameters of the target parts into a preset data prediction model;
and the data determining unit is used for taking the data output by the preset data prediction model as prediction data.
According to the method and the device for correcting the part assembly data, provided by the embodiment of the invention, the assembly data of the target part before assembly and the measurement data after assembly and completion of each process are obtained; according to the assembly data, determining prediction data of the target part before each process is completed after the target part is assembled; determining correction data according to the prediction data, the measurement data and the assembly data; and correcting the assembly data according to the correction data. According to the method and the device for correcting the part assembly data, provided by the embodiment of the invention, the correction data for correcting the assembly data is determined according to the prediction data, the measurement data and the assembly data, and the assembly data is corrected according to the correction data, so that the automatic closed-loop correction of the part assembly data is realized, and the reliability of the part assembly data is improved.
Drawings
Fig. 1 is a flowchart of a method for correcting assembly data of a component according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of data acquired before and after assembly of a component according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for correcting component assembly data according to a second embodiment of the present invention;
fig. 4 is a block diagram of a device for correcting component assembly data according to a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for correcting component assembly data according to an embodiment of the present invention, where the embodiment is applicable to correcting component assembly data, and the method may be executed by a device for correcting component assembly data, where the device may be implemented in a form of software and/or hardware, and the device may be integrated in an electronic device such as a computer, and the method specifically includes the following steps:
and step 110, acquiring assembly data of the target part before assembly and measurement data after assembly and completion of each process.
The target component may be a plurality of different types of components, and the target component is a component to be assembled. The target parts need to be assembled, and other process procedures are carried out after the assembly is finished. The device for correcting the part assembly data can acquire the assembly data and the measurement data of the target part in a laser mode.
And step 120, according to the assembly data, determining prediction data of the target part before each process is completed after the target part is assembled.
Illustratively, the target parts are a keyboard and a touch pad of a computer notebook, the assembling data are the thickness of the keyboard and the thickness of the touch pad, and the measuring data are the actual thickness of the keyboard and the touch pad after being assembled. The prediction data may be output data obtained by inputting the assembly data and the dimensional parameters of the target component into a preset data prediction model. The dimensional parameter of the target component may be pre-stored data. For example, the thickness of the keyboard is 2.92cm before assembling, and the corresponding prediction data obtained before completing each manufacturing process after assembling is 2.93 cm.
Step 130, determining correction data based on the predicted data, the measured data, and the assembled data.
Specifically, the measured data of the keyboard after the completion of each manufacturing process after the assembly and the corresponding predicted data obtained before the completion of each manufacturing process after the assembly are differentiated to obtain a data difference value, and the sum of the data difference value and the assembly data is used as the correction data of the assembly data of the keyboard.
And step 140, correcting the assembly data according to the correction data.
Specifically, fig. 2 is a schematic diagram of data acquired before and after assembling a component according to an embodiment of the present invention, and referring to fig. 2, the data of the target component includes assembly data before assembling, prediction data before completing each manufacturing process after assembling, measurement data after assembling and completing each manufacturing process, and correction data. The target component has other processes after the assembly is completed, and data can be measured by the measuring equipment after all the processes are completed. The correction device of the part assembly data can use the obtained correction data of the keyboard as the assembly data of the keyboard after correction before assembly, and realize automatic closed-loop correction of the part assembly data, thereby improving the reliability of the part assembly data.
In the method for correcting the component assembly data provided by this embodiment, the assembly data of the target component before assembly and the measurement data after assembly and completion of each process are obtained; according to the assembly data, determining prediction data of the target part before each process is completed after the target part is assembled; determining correction data according to the prediction data, the measurement data and the assembly data; and correcting the assembly data according to the correction data. According to the method for correcting the part assembly data, correction data for correcting the assembly data is determined according to the prediction data, the measurement data and the assembly data, the assembly data is corrected according to the correction data, automatic closed-loop correction of the part assembly data is achieved, and therefore reliability of the part assembly data is improved.
Example two
Fig. 3 is a flowchart of a method for correcting component assembly data according to a second embodiment of the present invention, where the method may be applied to the aspect of correcting component assembly data, and the method may be executed by a device for correcting component assembly data, where the device may be implemented in a form of software and/or hardware, and the device may be integrated in an electronic device such as a computer, and the method specifically includes the following steps:
step 210, obtaining assembly data of the target component before assembly and measurement data after assembly and completion of each process.
The target component may be a plurality of different types of components, and the target component is a component to be assembled. Illustratively, the target parts are a keyboard and a touch pad of a computer notebook, the assembling data are the thickness of the keyboard and the thickness of the touch pad, and the measuring data are the actual thickness of the keyboard and the touch pad after being assembled. The target parts need to be assembled, and other process procedures are carried out after the assembly is finished. The device for correcting the part assembly data can acquire the assembly data and the measurement data of the target part in a laser mode.
In addition, after the assembly data of the target part before assembly and the measurement data after assembly and each manufacturing process are obtained, the assembly data and the measurement data can be stored in a preset database table, so that the data can be called at any time.
And step 220, inputting the assembly data and the size parameters of the target part into a preset data prediction model.
The preset data prediction model can be a model obtained based on various algorithms, and can predict a plurality of input data and output predicted data. For example, the assembly data of the keyboard and the size parameters of the keyboard are input into a preset data prediction model, and the preset data prediction model can output corresponding prediction data.
And step 230, taking the data output by the preset data prediction model as prediction data.
Illustratively, the data input into the preset data prediction model includes assembly data of the keyboard, such as a thickness of 2.92cm, and the preset data prediction model outputs data, i.e., prediction data, of 2.93 cm.
And 240, subtracting the measured data and the predicted data to obtain a data difference value.
Illustratively, the obtained predicted data of the keyboard after assembly and before completion of each process is 2.93cm, the obtained measured data of the keyboard after assembly and completion of each process is 2.95cm, and the difference between the obtained measured data and the predicted data is 0.02 cm.
And step 250, taking the sum of the data difference value and the assembly data as correction data.
Wherein, the sum of the data difference value of 0.02cm and the assembly data of 2.92cm is 2.94cm, and the correction data is 2.94 cm.
And step 260, if the correction data is smaller than the preset data threshold, taking the correction data as new assembly data to correct the assembly data.
Specifically, if the obtained correction data 2.94cm is smaller than the preset data threshold, the correction data 2.94cm can be used as the assembly data of the keyboard after being corrected before assembly, so that the part assembly data can be corrected, and the reliability of the part assembly data can be improved.
In addition, if the correction data is larger than the preset data threshold, a prompt is sent out so as to prompt related personnel to further analyze the correction data. After the assembly data is corrected according to the correction data, the correction data determined for a plurality of times may be analyzed to optimize the corrected assembly data. For example, the corrected assembly data is updated with the average of the plurality of correction data as new correction data. After the assembly data are corrected, the data can be displayed in a graph mode, so that workers can visually know the data.
It should be noted that the specific size of the preset data threshold may be determined according to the actual correction requirement, and is not limited herein.
In the method for correcting the component assembly data provided by this embodiment, the assembly data of the target component before assembly and the measurement data after assembly and completion of each process are obtained; inputting the assembly data and the size parameters of the target part into a preset data prediction model, and taking data output by the preset data prediction model as prediction data; the difference is made between the measured data and the predicted data to obtain a data difference value, and the sum of the data difference value and the assembled data is used as correction data; and if the correction data is smaller than the preset data threshold, taking the correction data as new assembly data to correct the assembly data. According to the method for correcting the part assembly data, correction data for correcting the assembly data is determined according to the prediction data, the measurement data and the assembly data, the assembly data is corrected according to the correction data, automatic closed-loop correction of the part assembly data is achieved, and therefore reliability of the part assembly data is improved.
EXAMPLE III
Fig. 4 is a block diagram of a modification apparatus for component assembly data according to a third embodiment of the present invention, where the modification apparatus includes: a data acquisition module 310, a predicted data determination module 320, a corrected data determination module 330, and a data correction module 340; the data acquiring module 310 is configured to acquire assembly data of the target component before assembly and measurement data after assembly and completion of each manufacturing process; the predicted data determining module 320 is configured to determine predicted data of the target component before each manufacturing process is completed after assembly according to the assembly data; the modified data determining module 330 is configured to determine modified data according to the predicted data, the measured data, and the assembly data; the data modification module 340 is configured to modify the assembly data according to the modification data.
On the basis of the above embodiment, the prediction data determination module includes: a data input unit and a data input unit; the data input unit is used for inputting the assembly data and the size parameters of the target parts into a preset data prediction model; the data determining unit is used for taking data output by the preset data prediction model as prediction data.
In one embodiment, the rework data determination module 330 includes: a difference value determining unit and a correction data determining unit; the difference value determining unit is used for making a difference between the measured data and the predicted data to obtain a data difference value; the correction data determination unit is used for taking the sum of the data difference value and the assembly data as correction data.
Preferably, the data modification module 340 includes: and the data correction unit is used for taking the corrected data as new assembly data to correct the assembly data if the corrected data is smaller than a preset data threshold.
Preferably, the data modification module 340 includes: and the prompting unit is used for sending out a prompt if the correction data is larger than a preset data threshold value.
Optionally, the correcting device further includes an optimizing module, where the optimizing module is configured to, after correcting the assembly data according to the correction data, analyze and process the correction data determined multiple times, so as to optimize the corrected assembly data.
Optionally, the correcting device further includes a storage module, where the storage module is configured to store the assembly data and the measurement data in a preset database table after the assembly data and the measurement data of the target component before the assembly and the measurement data after the completion of each manufacturing process are obtained.
Optionally, the correction device further includes a display module, and the display module is configured to display each data in a graph mode after correcting the assembly data according to the correction data.
The device for correcting the component assembly data provided by the embodiment and the method for correcting the component assembly data provided by any embodiment of the invention belong to the same inventive concept, have corresponding beneficial effects, and the detailed technical details of the device for correcting the component assembly data provided by any embodiment of the invention are not described in detail in the embodiment.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious modifications, rearrangements, combinations and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method for correcting component assembly data, comprising:
acquiring assembly data of the target part before assembly and measurement data after assembly and completion of each process;
according to the assembly data, determining prediction data of the target parts before each process is completed after the target parts are assembled;
determining correction data according to the prediction data, the measurement data and the assembly data;
and correcting the assembly data according to the correction data.
2. The method of claim 1, wherein the determining the predicted data of the target component before each manufacturing process is completed after the assembling according to the assembling data comprises:
inputting the assembly data and the size parameters of the target part into a preset data prediction model;
and taking data output by the preset data prediction model as prediction data.
3. The method of modifying of claim 1, wherein said determining modified data based on said predicted data, said metrology data, and said assembly data comprises:
making a difference between the measured data and the predicted data to obtain a data difference value;
and taking the sum of the data difference value and the assembly data as the correction data.
4. The correction method according to claim 1, wherein the correcting the assembly data according to the correction data includes:
and if the correction data is smaller than a preset data threshold, taking the correction data as new assembly data to correct the assembly data.
5. The correction method according to claim 1, wherein the correcting the assembly data according to the correction data includes:
and if the corrected data is larger than a preset data threshold value, sending a prompt.
6. The correction method according to claim 1, wherein the correcting the assembly data according to the correction data comprises:
and analyzing and processing the correction data determined for multiple times so as to optimize the corrected assembly data.
7. The method of claim 1, wherein the obtaining of the pre-assembly data and the post-assembly and post-process metrology data of the target component comprises:
and storing the assembly data and the measurement data in a preset database table.
8. The correction method according to claim 1, wherein the correcting the assembly data according to the correction data comprises:
each data is displayed graphically.
9. An apparatus for correcting component assembly data, comprising:
the data acquisition module is used for acquiring assembly data of the target part before assembly and measurement data after assembly and completion of each manufacturing process;
the predicted data determining module is used for determining predicted data of the target part before each process is completed after the target part is assembled according to the assembling data;
a modified data determination module for determining modified data based on the predicted data, the measured data, and the assembled data;
and the data correction module is used for correcting the assembly data according to the correction data.
10. The corrective device of claim 9, wherein the prediction data determination module comprises:
the data input unit is used for inputting the assembly data and the size parameters of the target parts into a preset data prediction model;
and the data determining unit is used for taking the data output by the preset data prediction model as prediction data.
CN202210446444.2A 2022-04-26 2022-04-26 Method and device for correcting assembly data of parts Withdrawn CN114880845A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210446444.2A CN114880845A (en) 2022-04-26 2022-04-26 Method and device for correcting assembly data of parts

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210446444.2A CN114880845A (en) 2022-04-26 2022-04-26 Method and device for correcting assembly data of parts

Publications (1)

Publication Number Publication Date
CN114880845A true CN114880845A (en) 2022-08-09

Family

ID=82672761

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210446444.2A Withdrawn CN114880845A (en) 2022-04-26 2022-04-26 Method and device for correcting assembly data of parts

Country Status (1)

Country Link
CN (1) CN114880845A (en)

Similar Documents

Publication Publication Date Title
RU2321886C2 (en) System for analyzing design and production processes
JP3705296B1 (en) Quality control apparatus and control method therefor, quality control program, and recording medium recording the program
CN109933852B (en) Method and device for predicting vehicle size deviation, storage medium and electronic equipment
US20040117152A1 (en) Method for predicting the quality of a product
CN107408522B (en) Determining key parameters using a high-dimensional variable selection model
CN113655768B (en) Assembly yield control method, equipment and computer readable storage medium
CN110928264A (en) Data processing, data processing device, and computer-readable recording medium
CN111597121B (en) Precise test method based on historical test case mining
CN115213255A (en) Method for adjusting dimensional deviation of stamping part, electronic device and storage medium
KR101998972B1 (en) Method of analyzing and visualizing the cause of process failure by deriving the defect occurrence index by variable sections
US8428914B2 (en) Method and simulator for real-time calculation of state variables of a process model
CN110928265B (en) Data processing method, device and system, and computer readable recording medium
EP3330820A1 (en) Calculation method for compressed air-flow rate, calculation device thereof, and storage medium
Moroni et al. Early cost estimation for tolerance verification
US20190243348A1 (en) Data processing method, data processing apparatus, data processing system, and recording medium having recorded therein data processing program
CN114880845A (en) Method and device for correcting assembly data of parts
JP3800244B2 (en) Quality control apparatus and control method therefor, quality control program, and recording medium recording the program
JP2006148070A (en) Correcting method of sensor data and interlock evaluating method of interlock system
CN112236798B (en) Method for quality assurance in the case of production of a product, and computing device and computer program
JP2014110047A (en) Method and device for electronic circuit simulation
CN116578041A (en) Data processing method for CNC controller
CN1164998C (en) Method for judging failure percentage and choosing optimal pre-processing period
EP4220132A1 (en) Rolling principal component analysis for dynamic process monitoring and end point detection
US20210049417A1 (en) Learning processing device, data analysis device, analytical procedure selection method, and recording medium
US7343352B2 (en) Method and system for assessing the quality and cost of inspection

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
WW01 Invention patent application withdrawn after publication

Application publication date: 20220809

WW01 Invention patent application withdrawn after publication