Management method, system and electronic device for improving assembly precision of production line

Abstract

This invention discloses a management method, system, and electronic device for improving assembly line precision. By acquiring the offset of each component in the production line process, which accurately represents the deviation between the actual installation position and a predetermined standard position, and combining the theoretical design values ​​and historical actual offset data of each component, the precision range corresponding to each component is determined. Finally, based on the precision range of each component, the proportional coefficient of the corresponding component in a predetermined algorithm is dynamically adjusted. The predetermined algorithm is used to allocate the overall precision requirements of the target component to each component production stage in the process. This improves the precision and stability of production line assembly, thereby increasing production efficiency and product qualification rate.

Description

Technical Field

[0001] This invention relates to the field of intelligent manufacturing technology, and in particular to a management method, system, and electronic device for improving the assembly precision of a production line. Background Technology

[0002] As the manufacturing industry transforms towards intelligence and efficiency, more and more companies are introducing intelligent manufacturing execution systems (MES) to achieve core needs such as improved production efficiency, intelligent improvement of production processes, real-time product quality monitoring, and full-process traceability. This has become an important path for companies to enhance their core competitiveness.

[0003] However, how to effectively transform the large amount of product data collected into actual productivity, give full play to the supporting role of data in production optimization, and accurately improve various problems existing in the current production process is one of the problems that need to be solved in the field of intelligent manufacturing technology. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a management method, system and electronic device for improving the assembly precision of a production line, which can improve the precision and stability of production line assembly, thereby increasing production efficiency and product qualification rate.

[0005] In a first aspect, embodiments of the present invention provide a management method for improving the assembly precision of a production line, the method comprising: Determine the offset of each component in the manufacturing process, wherein the offset is used to characterize the deviation value of the component from the predetermined position; The accuracy range of each component is determined based on its theoretical design value and historical actual offset. Adjust the proportional coefficients of each component in the predetermined algorithm according to the accuracy range of each component; The predetermined algorithm is used to allocate the precision of the target component to the production processes of each component in the manufacturing process.

[0006] Secondly, embodiments of the present invention provide a management system for improving the assembly precision of a production line, the system comprising: The offset determination module is used to determine the offset of each component in the process, wherein the offset is used to characterize the deviation value between the component and the predetermined position; The accuracy range determination module is used to determine the accuracy range of each component based on the design theoretical value and historical actual offset of each component. The scaling factor adjustment module is used to adjust the scaling factor of each component in the predetermined algorithm according to the accuracy range of each component. The predetermined algorithm is used to allocate the precision of the target component to the production processes of each component in the manufacturing process.

[0007] Thirdly, embodiments of the present invention provide an electronic device, including a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in the first aspect.

[0008] The technical solution disclosed in this invention obtains the offset of each component in the production line process. This offset accurately represents the deviation between the actual installation position of the component and a predetermined standard position. By combining the theoretical design values ​​and historical actual offset data of each component, the accuracy range corresponding to each component is determined. Finally, based on the accuracy range of each component, the proportional coefficient of the corresponding component in a predetermined algorithm is dynamically adjusted. This predetermined algorithm is used to allocate the overall accuracy requirement of the target component to each component production stage in the process. This improves the accuracy and stability of the production line assembly, thereby increasing production efficiency and product qualification rate. Attached Figure Description

[0009] The above and other objects, features and advantages of the present invention will become clearer from the following description of embodiments of the invention with reference to the accompanying drawings, in which: Figure 1 This is a flowchart of a management method for improving production line assembly precision according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating the determination of the allowable offset of each component in the manufacturing process according to an embodiment of the present invention. Figure 3 This is a flowchart illustrating how to determine whether the trend of offset change meets predetermined conditions, according to an embodiment of the present invention. Figure 4 This is a schematic diagram of the component offset change trend in an embodiment of the present invention; Figure 5 This is a flowchart illustrating the adjustment of the control device based on compensation parameters according to an embodiment of the present invention; Figure 6 This is a schematic diagram of a management system for improving production line assembly precision according to an embodiment of the present invention; Figure 7 This is a schematic diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0010] The present application is described below based on embodiments, but it is not limited to these embodiments. In the detailed description of the present application below, certain specific details are described in detail. Those skilled in the art can fully understand the present application without these details. To avoid obscuring the substance of the present application, well-known methods, processes, flows, elements, and circuits are not described in detail.

[0011] Furthermore, those skilled in the art should understand that the accompanying drawings provided herein are for illustrative purposes only and are not necessarily drawn to scale.

[0012] Unless the context explicitly requires it, words such as "including" or "contains" throughout the application should be interpreted as including rather than exclusive or exhaustive; that is, meaning "including but not limited to".

[0013] In the description of this application, it should be understood that the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance. Furthermore, in the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0014] Figure 1 This is a flowchart of a management method for improving production line assembly precision according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps: Step S100: Determine the allowable offset of each component in the process.

[0015] The offset (management specification) is used to characterize the deviation value between the component and the predetermined position. Figure 2 This is a flowchart illustrating the determination of allowable offsets for various components in the manufacturing process according to an embodiment of the present invention, such as... Figure 2 As shown, the determination of the allowable offset of each component in the manufacturing process includes: Step S110: Determine the actual position coordinates of the component.

[0016] The actual position coordinates of the component are the measured coordinates of the component. Specifically, the actual position coordinates of the component can be measured and recorded using appropriate instruments during the manufacturing process.

[0017] In some embodiments, determining the actual position coordinates of a component includes obtaining the component's actual position coordinates during assembly production from a manufacturing execution system database by scanning the component's unique identifier. Specifically, each component is assigned a unique identifier such as a QR code, barcode, chip serial number (SN), carrier ID, and actual acupoint or RFID (Radio Frequency Identification) tag (which can be marked on the component surface or located on a chip inside the component, but this invention is not limited thereto). After being associated with basic information such as component model, production batch, and specifications, these identifiers are pre-entered into the manufacturing execution system database. Throughout the component assembly process, the Manufacturing Execution System (MES) collects and records in real time the component's movement trajectory, dwell time at each workstation, processing nodes, and corresponding spatial coordinates. This information is then bound to a unique identifier and stored, forming a complete production location traceability data chain. When the actual coordinates of a component need to be determined, relevant personnel scan the identifier using a scanning device. The device uses this identifier as a search keyword, establishing a connection with the MES database via the industrial communication network and initiating a query request. After rapid matching, the database extracts the component's current workstation, corresponding spatial coordinates, and related location information. This enables precise retrieval of component location information.

[0018] Step S120: Determine the average of the differences between the predetermined position coordinates and the actual position coordinates of a plurality of components as the allowable offset of the component.

[0019] After determining the actual position coordinates of the component, the difference between the component's predetermined position coordinates and its actual position coordinates is calculated as the component's offset, and the average of multiple differences is taken as the component's offset. Specifically, since there is a certain error in calculating the offset in a single operation, this embodiment of the invention uses the average of multiple differences as the component's offset, thereby reducing the impact of single errors on the component's offset. For example, if the sampling quantity is 10, the offset obtained in this calculation and the offset obtained in the previous 9 calculations are taken as the component's offset. In some embodiments, the average of n (n>minimum sampling value) sets of data can be taken first, and the adjustment compensation mechanism can be triggered in the (n+1)th set.

[0020] Step S200: Determine the accuracy range of each component based on the theoretical design value and historical actual offset of each component.

[0021] For each component, the theoretical design value (production specification) is its inherent parameter, used to characterize the component's dimensional parameters during design. The historical actual offset is the average of all offsets in historical data. Specifically, the theoretical design value of each component is first extracted, then the offset data recorded during the component's historical production process is retrieved. The average historical actual offset is calculated statistically to represent the deviation level of the component in historical production. Then, combining the tolerance requirements of the theoretical design value with the average historical actual offset, the accuracy range of each component is determined through deviation threshold calculation and accuracy range adaptation calculation. This accuracy range conforms to both the baseline requirements of the theoretical design value and the deviation patterns in actual production, providing a basis and range standard for subsequent accuracy control and deviation compensation in component production.

[0022] Step S300: Adjust the proportional coefficients of each component in the predetermined algorithm according to the accuracy range of each component.

[0023] After determining the accuracy range for each component, the proportional coefficients for each component in the predetermined algorithm are adjusted according to the accuracy range of each component, thereby distributing the allowable deviation value of assembly to each component. The predetermined algorithm is used to allocate the accuracy of the target component to the production processes of each component in the manufacturing process.

[0024] In some embodiments, the predetermined algorithm is specifically:

[0025] in, The predetermined deviation value for the i-th component. This is the scaling factor corresponding to the i-th component. Here, n represents the allowable deviation value for assembly, and n is the total number of adjustable processes for the component.

[0026] Specifically, the predetermined algorithm is used to evaluate how to allocate the allowable assembly deviation values ​​to each component. By setting an initial value for the scaling factor corresponding to each component and adjusting the scaling factor during manufacturing based on the actual precision of each component, the allowable assembly deviation values ​​are allocated to each process step. Thus, the precision range of each component is reasonably controlled while ensuring that the assembled product meets predetermined requirements.

[0027] In some embodiments, adjusting the proportional coefficients of each component in the predetermined algorithm according to the accuracy range corresponding to the manufacturing process of each component specifically involves adjusting the proportional coefficients of each component in the predetermined algorithm based on the accuracy range corresponding to each component and the standard accuracy information corresponding to each component. The standard accuracy information refers to the technically based accuracy benchmark parameters pre-set in the design, production, and assembly stages of the component, used as theoretical values ​​reflecting accuracy. The accuracy range corresponding to each component is the accuracy range of each component determined in step S200, used to reflect the actual accuracy value. Specifically, when the measured accuracy result of a component is higher than the standard accuracy specification, it indicates that the actual process accuracy of that component is high; when the measured accuracy result of a component is lower than the standard accuracy information, it indicates that the actual process accuracy of that component is low.

[0028] In some embodiments, adjusting the proportional coefficients of each component in a predetermined algorithm according to the accuracy range of each component includes: decreasing the proportional coefficient of the component when the measured accuracy result of the component is higher than the standard accuracy information of the component. When the actual production accuracy result of a component is higher than the standard accuracy information of the component, it indicates that the component has higher accuracy in the actual production process. Therefore, a certain accuracy margin can be allocated to other component production processes in the processing of this component. Therefore, the production accuracy specification of the component can be controlled by decreasing the proportional coefficient of the component to be compatible with the lower accuracy range of other processes. Conversely, when the measured accuracy result of a component is lower than the standard accuracy information of the component process, the proportional coefficient of the component is increased. Specifically, when the measured accuracy result of a component is lower than the standard accuracy information of the component, it indicates that the accuracy of the process is lower in the actual production process. Therefore, the accuracy specification of the component needs to be relaxed in production to ensure that production is achieved. Therefore, it is necessary to increase the accuracy proportional coefficient of the component so that the final accuracy range of the component can meet the requirements.

[0029] In addition to adjusting the proportional coefficients of each component in the predetermined algorithm, the offset data can be analyzed, and an alarm can be triggered when the trend of offset change does not meet the predetermined conditions to prompt relevant personnel to handle the abnormal situation. Figure 3 This is a flowchart illustrating how to determine whether the trend of offset change meets predetermined conditions, according to an embodiment of the present invention. Figure 3 As shown, the method includes the following steps: Step S400: Upload the offsets of each component in the process to the manufacturing execution system.

[0030] After obtaining the offsets of each component using the corresponding instruments / production equipment, in addition to adjusting the algorithm based on the offsets, the offset data also needs to be uploaded to the Manufacturing Execution System (MES) for processing. The MES is a workshop-level information management system located between the upper-level planning management system and the lower-level industrial control system. It is used to achieve precise production plan issuance and execution tracking, real-time monitoring and adjustment of process parameters, online product quality detection and traceability, real-time equipment status diagnosis and maintenance, and full-process tracking and management of material flow, thereby improving production efficiency and quality. Generally, the aforementioned instruments are components of the equipment, obtaining measurement data by inspecting the products produced by the equipment, and then providing the equipment with product production data and online quality inspection. On the other hand, IPQC (In-Process Quality Control) measuring instruments perform first-piece inspection and sampling data during production activities. This data can be used to further confirm product quality and also serve as a reference value for equipment compensation accuracy.

[0031] Step S500: In the background of the manufacturing execution system, a component production offset change trend chart is generated based on the historical offset data obtained from the component production records. This chart displays the changing trend of the component's assembly offset during production activities. Specifically, production offset is data collected during continuous production activities, i.e., data collection for the current process, while assembly offset is data collection for a single product object.

[0032] Specifically, after each component is assembled and its assembly offset data is uploaded to the Manufacturing Execution System (MES), the system backend will initiate a dedicated offset data analysis process. The core of this process is the trend chart generation operation in step S500, which visually presents the changes in component assembly accuracy, providing accurate data support for subsequent equipment alarm judgment. The component production offset change trend chart generated in this step is based on the real-time data acquisition mechanism in continuous production activities, focusing only on the component assembly process of the current production process. It synchronously captures the assembly offset data of each component in the current process, without involving irrelevant data from other processes or historical batches. During the data acquisition process, the offset of each component assembly operation in continuous production is captured, recorded, and summarized in real time according to the production cycle of the current process. Combined with the historical offset data of the corresponding components in the manufacturing execution system, the continuously collected offset data is generated into a trend chart in the form of a visual chart through the data processing algorithm of the system backend. Figure 4As shown, the offset of a component during each assembly corresponds to a point in the coordinate system. By presenting the offset data of each assembled component as discrete points in the coordinate system, the trend of offset changes can be analyzed in subsequent processes through changes in the CPK value. Therefore, in the component production offset change trend chart, the assembly offset data of each component in the current continuous production process is presented as continuous discrete points, and the trajectory of CPK value changes is marked simultaneously. This facilitates the intuitive judgment of the fluctuation pattern and direction of change of the component assembly offset through the trend chart, providing data support for determining whether equipment alarms are triggered.

[0033] Step S600: In response to the fact that the offset change trend value of the component does not meet the predetermined conditions, the control equipment alarm is activated after the manufacturing execution system makes a determination.

[0034] When the component offset change trend value does not meet the predetermined conditions, the manufacturing execution system (MES) makes a judgment. If the judgment result indicates an abnormal situation, the alarm device is controlled to stop working. Specifically, the calculated component offset change trend value is first compared with preset conditions such as process compliance thresholds and deviation warning intervals. If the trend value exceeds the compliance threshold or falls into the warning interval, it is determined that the predetermined conditions are not met, and the comparison result is transmitted to the MES. The system then performs automated verification and judgment based on preset anomaly judgment rules. When the system determines that there is an abnormal deviation in the production process that may affect the component's precision tolerance, it sends an activation signal to the on-site alarm device to issue a production anomaly reminder to the on-site personnel.

[0035] In addition to adjusting the proportional coefficients of each component, the precision of each component can also be adjusted through compensation, thereby achieving process compensation. Figure 5 This is a flowchart illustrating the method of adjusting a control device based on compensation parameters according to an embodiment of the present invention. The method includes: Step S700: Determine the corresponding optimized compensation parameter values ​​in the decomposition production process of each component to achieve the final accuracy tolerance improvement of the component based on the offset of each component.

[0036] When the offsets of each component are determined and the accuracy tolerance needs to be improved, it is necessary to determine the corresponding optimized compensation parameter values ​​in the production process based on the offsets of each component. These optimized compensation parameter values ​​are used to compensate for the components, thereby improving their accuracy. Specifically, the actual offsets of each component are first quantitatively analyzed and attributed to clarify the magnitude, direction, and root cause of the offset. This is then precisely matched to the corresponding processing steps, equipment parameters, and operational procedures in the component's decomposition production process. Based on the accuracy tolerance improvement target, and considering key factors such as the production process capability, equipment adjustment range, and material processing characteristics, suitable optimized compensation parameter values ​​are calculated for each deviation's corresponding process step through process simulation, parameter iterative calculation, or orthogonal experiments. This allows the optimized compensation parameter values ​​to specifically offset / reduce the actual offsets of the components, achieving precise correction of component production deviations and ultimately effectively improving the final accuracy tolerance of the components.

[0037] Step S800: Based on the compensation parameter value, the compensation value is downloaded to the equipment parameters through the manufacturing execution system to adjust the spatial displacement compensation amount of the control equipment.

[0038] The control device is used to control the compensation of equipment parameters in at least one process. Specifically, after determining the compensation parameter values ​​in step S700, the control device is compensated according to the compensation parameter values ​​to reduce the offset of each component during the production process, thereby improving the production accuracy of the process. In some embodiments, the compensation parameters include at least one of the following: component pick-and-place accuracy, relative spatial position (XYZ Tx Ty Tz), pressure, and speed. Pick-and-place accuracy measures the precision with which robotic arms, grippers, and other equipment grasp and place components, directly affecting the initial positioning accuracy of the components. Specifically, the pick-and-place path and positioning threshold are adjusted by setting the algorithm of the gripping equipment. The relative spatial position is a six-dimensional parameter describing the spatial attitude of the component in the equipment coordinate system. X / Y / Z represent the three-dimensional translation coordinates of the component, and Tx / Ty / Tz represent the three-dimensional rotation angles of the component around the X / Y / Z axes, used to calibrate attitude deviations such as displacement, tilt, and deflection that occur during component transfer. The pressure parameter is for component assembly and pressing processes, specifically used to adjust the pressure applied by the actuator of the control device. Speed ​​parameters, including those for robotic arm conveying, component transport, and assembly actions, characterize the movement speed of the control equipment. By downloading compensation parameter values ​​into the equipment parameters to adjust the spatial displacement compensation of the control equipment, the production accuracy of the product is improved.

[0039] This invention, through obtaining the offset values ​​from the production information of each component in the production line process, precisely characterizes the deviation between the actual installation position and the predetermined standard position of the component. Combining the theoretical design values ​​and historical actual offset data of each component, the accuracy range corresponding to each component is determined. Finally, based on the accuracy range of each component, the proportional coefficient of the corresponding component in a predetermined algorithm is dynamically adjusted. This predetermined algorithm is used to allocate the overall accuracy requirements of the target component to each component production stage in the process. This improves the accuracy and stability of production line assembly, thereby increasing production efficiency and product qualification rate.

[0040] Figure 6 This is a schematic diagram of a management system for improving production line assembly precision according to an embodiment of the present invention, as shown below. Figure 6 As shown, the production line assembly accuracy improvement management system includes an offset determination module, an accuracy range determination module, and a proportional coefficient adjustment module. The offset determination module 61 determines the allowable offset of each component in the process, whereby the offset characterizes the deviation of the component from a predetermined position. The accuracy range determination module 62 determines the accuracy range corresponding to each component based on its theoretical design value and historical actual offset. The proportional coefficient adjustment module 63 adjusts the proportional coefficient corresponding to each component in a predetermined algorithm based on the accuracy range of each component. This predetermined algorithm allocates the accuracy of the target component to the production processes of each component in the manufacturing process.

[0041] In some embodiments, the predetermined algorithm is:

[0042] in, The predetermined deviation value for the i-th component. This is the scaling factor corresponding to the i-th component. Here, n represents the allowable deviation value for assembly, and n is the total number of adjustable processes for the component.

[0043] In some embodiments, the proportional coefficient adjustment module is specifically used for: Adjust the proportional coefficients of each component in the predetermined algorithm according to the accuracy range and standard accuracy information of each component.

[0044] In some embodiments, adjusting the scaling factor corresponding to each component in the predetermined algorithm according to the accuracy range of each component includes: When the accuracy range of a component is higher than the standard accuracy information of the component, the scaling factor corresponding to the component is reduced.

[0045] In some embodiments, determining the allowable offset of each component in the process includes: Determine the actual position coordinates of the component; The offset of a component is determined by the average difference between the predetermined position coordinates and the actual position coordinates of a plurality of components.

[0046] In some embodiments, determining the actual position coordinates of the component includes: The actual location coordinates of the component during assembly production are obtained from the Manufacturing Execution System database by scanning the component's unique identifier.

[0047] In some embodiments, the system further includes: The upload module is used to upload the offsets of each component in the manufacturing process to the manufacturing execution system; The trend determination module is used to generate a component production offset trend chart in the background of the manufacturing execution system based on the historical offset data obtained from the component production records. The component production offset trend chart is used to show the trend of the assembly offset of the component in the production activities. An alarm control module is used to control the equipment to alarm when the offset change trend value of the component does not meet a predetermined condition, after being determined by the manufacturing execution system.

[0048] In some embodiments, the system further includes: The optimization compensation module is used to determine the corresponding optimization compensation parameter values ​​in the decomposed production process of each component to achieve the final accuracy tolerance improvement of the component based on the offset of each component. The adjustment module is used to download the compensation value to the equipment parameters through the manufacturing execution system according to the compensation parameter value, so as to adjust the spatial displacement compensation amount of the control equipment. The control device is used to control the equipment parameter compensation for at least one process.

[0049] This invention, through obtaining the offset of each component in the production line process, precisely characterizes the deviation between the actual installation position and the predetermined standard position of the component. Combining the theoretical design values ​​and historical actual offset data of each component, the accuracy range corresponding to each component is determined. Finally, based on the accuracy range of each component, the proportional coefficient of the corresponding component in a predetermined algorithm is dynamically adjusted. This predetermined algorithm is used to allocate the overall accuracy requirement of the target component to each component production stage in the process. This improves the accuracy and stability of production line assembly, thereby increasing production efficiency and product qualification rate.

[0050] Figure 7 This is a schematic diagram of an electronic device according to an embodiment of the present invention. (For example...) Figure 7 As shown, Figure 7The illustrated electronic device is a general-purpose data processing device, comprising a general-purpose computer hardware architecture, including at least a processor 71 and a memory 72. The processor 71 and memory 72 are connected via a bus 73. The memory 72 is adapted to store instructions or programs executable by the processor 71. The processor 71 can be a standalone microprocessor or a collection of one or more microprocessors. Thus, the processor 71 executes the instructions stored in the memory 72, thereby performing the method flow of the embodiments of the present invention as described above to process data and control other devices. The bus 73 connects the aforementioned components together, and also connects these components to a display controller 74, a display device, and an input / output (I / O) device 75. The input / output (I / O) device 75 can be a mouse, keyboard, modem, network interface, touch input device, motion-sensing input device, printer, and other devices known in the art. Typically, the input / output device 75 is connected to the system via an input / output (I / O) controller 76.

[0051] Those skilled in the art will understand that embodiments of this application can be provided as methods, apparatus (devices), or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0052] This application is described with reference to flowchart illustrations of methods, apparatus (devices), and computer program products according to embodiments of this application. It should be understood that each step in the flowchart can be implemented by computer program instructions.

[0053] These computer program instructions may be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including an instruction means, the implementation process of which is described in the instruction means. Figure 1 The function specified in one or more processes.

[0054] These computer program instructions may also be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing device, produce instructions for implementing processes. Figure 1 A device for a function specified in one or more processes.

[0055] Another embodiment of the present invention relates to a non-volatile storage medium for storing a computer-readable program for use by a computer to execute some or all of the above-described method embodiments.

[0056] That is, those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program specifying the relevant hardware. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0057] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A management method for improving assembly precision on a production line, characterized in that, The method includes: Determine the allowable offset of each component in the process, wherein the offset is used to characterize the deviation value of the component from the predetermined position; The accuracy range of each component is determined based on its theoretical design value and historical actual offset. Adjust the proportional coefficients of each component in the predetermined algorithm according to the accuracy range of each component; The predetermined algorithm is used to allocate the precision of the target component to the production processes of each component in the manufacturing process.

2. The method according to claim 1, characterized in that, The predetermined algorithm is as follows: in, The predetermined deviation value for the i-th component. This is the scaling factor corresponding to the i-th component. Here, n represents the allowable deviation value for assembly, and n is the total number of adjustable processes for the component.

3. The method according to claim 2, characterized in that, The specific steps for adjusting the proportional coefficients of each component in the predetermined algorithm based on the accuracy range corresponding to the manufacturing process of each component are as follows: Adjust the proportional coefficients of each component in the predetermined algorithm according to the accuracy range and standard accuracy information of each component.

4. The method according to claim 3, characterized in that, Adjusting the proportional coefficients for each component in the predetermined algorithm based on the accuracy range of each component includes: When the accuracy range of a component is higher than the standard accuracy information of the component, the scaling factor corresponding to the component is reduced.

5. The method according to any one of claims 1-4, characterized in that, The allowable offsets of each component in the process are determined as follows: Determine the actual position coordinates of the component; The offset of a component is determined by the average difference between the predetermined position coordinates and the actual position coordinates of a plurality of components.

6. The method according to claim 5, characterized in that, The determination of the actual position coordinates of the component includes: The actual location coordinates of the component during assembly production are obtained from the Manufacturing Execution System database by scanning the component's unique identifier.

7. The method according to any one of claims 1-4, characterized in that, The method further includes: The offsets of each component in the process are uploaded to the manufacturing execution system; In the background of the manufacturing execution system, a component production offset change trend chart is generated based on the historical offset data obtained from the component production records. The component production offset change trend chart is used to show the change trend of the assembly offset of the component in the production activities. If the offset change trend value of the component does not meet the predetermined conditions, the control equipment will alarm after the manufacturing execution system determines the error.

8. The method according to any one of claims 1-4, characterized in that, The method further includes: Based on the offset of each component, determine the corresponding optimized compensation parameter values ​​in the decomposed production process of each component to achieve the final accuracy tolerance improvement of the component; Based on the compensation parameter value, the compensation value is downloaded to the equipment parameters through the manufacturing execution system to adjust the spatial displacement compensation amount of the control equipment; The control device is used to control the equipment parameter compensation for at least one process.

9. The method according to claim 8, characterized in that, The compensation parameters include at least one of the following: component placement accuracy, spatial position relative to the equipment origin, pressure, and speed.

10. A management system for improving assembly precision on a production line, characterized in that, The system includes: The offset determination module is used to determine the allowable offset of each component in the process, wherein the offset is used to characterize the deviation value between the component and the predetermined position; The accuracy range determination module is used to determine the accuracy range of each component based on the design theoretical value and historical actual offset of each component. The scaling factor adjustment module is used to adjust the scaling factor of each component in the predetermined algorithm according to the accuracy range of each component. The predetermined algorithm is used to allocate the precision of the target component to the production processes of each component in the manufacturing process.

11. The system according to claim 10, characterized in that, The predetermined algorithm is as follows: in, The predetermined deviation value for the i-th component. This is the scaling factor corresponding to the i-th component. Here, n represents the allowable deviation value for assembly, and n is the total number of adjustable processes for the component.

12. The system according to claim 11, characterized in that, The proportional coefficient adjustment module is specifically used for: Adjust the proportional coefficients of each component in the predetermined algorithm according to the accuracy range and standard accuracy information of each component.

13. The system according to claim 12, characterized in that, Adjusting the proportional coefficients for each component in the predetermined algorithm based on the accuracy range of each component includes: When the accuracy range of a component is higher than the standard accuracy information of the component, the scaling factor corresponding to the component is reduced.

14. The system according to any one of claims 10-13, characterized in that, The allowable offsets of each component in the process are determined as follows: Determine the actual position coordinates of the component; The offset of a component is determined by the average difference between the predetermined position coordinates and the actual position coordinates of a plurality of components.

15. The system according to claim 14, characterized in that, The determination of the actual position coordinates of the component includes: The actual location coordinates of the component during assembly production are obtained from the Manufacturing Execution System database by scanning the component's unique identifier.

16. The system according to any one of claims 10-13, characterized in that, The system also includes: The upload module is used to upload the offsets of each component in the manufacturing process to the manufacturing execution system; The trend determination module is used to generate a component production offset trend chart in the background of the manufacturing execution system based on the historical offset data obtained from the component production records. The component production offset trend chart is used to show the trend of the assembly offset of the component in the production activities. An alarm control module is used to control the equipment to alarm when the offset change trend value of the component does not meet a predetermined condition, after being determined by the manufacturing execution system.

17. The system according to any one of claims 10-13, characterized in that, The system also includes: The optimization compensation module is used to determine the corresponding optimization compensation parameter values ​​in the decomposed production process of each component to achieve the final accuracy tolerance improvement of the component based on the offset of each component. The adjustment module is used to download the compensation value to the equipment parameters through the manufacturing execution system according to the compensation parameter value, so as to adjust the spatial displacement compensation amount of the control equipment. The control device is used to control the equipment parameter compensation for at least one process.

18. The system according to claim 17, characterized in that, The compensation parameters include at least one of the following: component placement accuracy, spatial position relative to the equipment origin, pressure, and speed.

19. An electronic device comprising a memory and a processor, characterized in that, The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as described in any one of claims 1-9.

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