Control method, system and device for special-shaped precision machining of copper strip

Abstract

The invention relates to a control method for special-shaped precision machining of a copper strip, which comprises a thickness machining control flow and a width detection control flow, automatic machining is performed by setting information such as standard thickness and threshold range, marked width and threshold range, measurement position and the like, and thickness and width information is automatically detected in the machining process. The thickness detection is used for dynamically detecting the processing thickness in real time, and adjusting a model according to a data acquisition model and a PID feedback of a threshold difference value; according to the width detection automatic control, visual positioning is conducted according to the actual machining width, the real-time width is obtained according to an image algorithm, then the real-time width is compared with the sum of the set standard width and the compensation value, and the range needing to be adjusted is obtained for real-time adjustment. The thickness and width processing values can be dynamically and accurately ensured to be within the threshold range, the processing precision is ensured, the thickness and width data can be automatically recorded and stored on line, and a user can conveniently look up and trace.

Description

Technical Field

[0001] This invention relates to the field of copper strip irregular shape processing control, and in particular to a control method, system and device for precision processing of copper strip irregular shapes. Background Technology

[0002] In high-end manufacturing industries, such as precision copper connectors for new energy and precision connectors for semiconductor transmission, these products have the following processing characteristics: (1) Due to the inherent structure and conductivity of copper, the processing method cannot be the traditional stamping or extrusion method (which can easily damage the copper structure and lead to poor conductivity); (2) According to the processing accuracy requirements, in high-precision processing with a thickness of 10um and a width of 30um, the traditional processing only uses manual operation, which makes it difficult to ensure consistency; (3) According to the current processing method, the traditional method of manually processing and measuring one section at a time to check the processing results is easy to lead to scrap and cannot guarantee real-time adjustment of processing accuracy; (4) Due to the special nature of its processing (continuous processing), it is impossible to record and save the actual data of the entire processing (currently, only the data is measured at the beginning and end of the processing).

[0003] In existing technologies, all processing is manually controlled, involving manual feeding, fixing, and adjustment of the required depth and width. This process involves adjustment, measurement, adjustment, and measurement until the desired thickness and width are achieved. The traction speed is then manually input and continuously adjusted based on the processing effect (surface roughness). This traditional processing and adjustment method cannot meet current market demands. The current market places higher requirements on processing efficiency, data preservation, quality traceability, and efficiency statistics, thus placing higher demands on current processing methods. Therefore, there is an urgent need to design an automated precision machining method for irregularly shaped copper strips. Summary of the Invention

[0004] The primary objective of this invention is to provide a control method for precision machining of irregularly shaped copper strips. Its advantages include automatic machining control, more accurate results, real-time data storage and display, controllable quality, and traceable width and thickness data, thereby solving existing technical problems.

[0005] The above-mentioned technical objective of the present invention is achieved through the following technical solution: a control method for precision machining of irregular copper strips, including a thickness machining control process and a width detection control process.

[0006] The thickness processing control process includes the following steps:

[0007] Step S1: The user sets the standard processing thickness data and sets the maximum and minimum threshold range for the data;

[0008] Step S2: Set the thickness detection position;

[0009] Step S3: Perform normal processing and measure the actual processing data;

[0010] Step S4: Determine the difference between the actual processing data and the set standard data:

[0011] S4.1: If the actual value is within the threshold range of the standard deviation, proceed with normal processing, plot the thickness curve based on the data, and generate a table of the data;

[0012] S4.2: If the actual value and the standard deviation exceed the threshold range, adjust the relevant actuators according to the actual difference, and then continue to monitor the actual value to proceed to step S3;

[0013] S4.3: If, after the above adjustments, the actual value still exceeds the threshold of the standard value, the device will issue an alarm, requiring manual intervention.

[0014] Step S5: Process ends;

[0015] The width detection control process is as follows:

[0016] Step S1: Set the area for width detection;

[0017] Step S2: Set the standard value for the width and the maximum and minimum thresholds;

[0018] Step S3: Process according to standards;

[0019] Step S4: Detect the actual width value of the processed part and generate a table:

[0020] S4.1 If the offset value is within the set offset range, then draw the width standard curve based on the new data and save the new data as reference data;

[0021] S4.2 If the offset value is greater than the threshold range, the system will adjust the position of the relevant mechanism according to the deviation range. If the actual value is always outside the threshold range after adjustment, an alarm signal requiring manual intervention will be given.

[0022] Step S5: Process ends.

[0023] Furthermore, the thickness processing control process is debugged, a standard thickness value is set, and upper and lower limit thresholds are set to obtain a standard value for generating a set of calculation algorithms. Through stable thickness data acquisition sensors, and based on the actual thickness changes, the thickness change is converted into a PID closed-loop adjustment of the axis of processing thickness, thereby obtaining an automatic control algorithm to ensure that the processing accuracy is within the control range.

[0024] Furthermore, in the thickness processing control process, the collected thickness data is filtered and noise-reduced. Then determine If it's noise, replace it with the previous correct value, that is... , This represents the collected thickness data. , This is a threshold used to determine whether thickness data is noise. It is the absolute value symbol.

[0025] Furthermore, in the thickness processing control process, if, while obtaining the correct value, the value gradually increases in one direction to the size threshold and multiple (3 or more) such values ​​appear consecutively, then the difference from the standard value is averaged and divided by 2 to adjust the thickness processing.

[0026] Furthermore, in the width detection and control process, the collected width data is filtered and denoised. Then determine If it's noise, replace it with the previous correct value, that is... , This represents the width data collected. , This is a threshold used to determine whether width data is noise. It is the absolute value symbol.

[0027] Furthermore, in the width detection control process, the width measurement value is calculated as follows: width = number of pixels * preset calibration value + compensation value.

[0028] Furthermore, if the thickness or width value is adjusted but the detected width or thickness value does not change, and the collected data shows this multiple times consecutively, it is determined that there is a problem with the processing technology, and an alarm is issued in a timely manner indicating that manual intervention is required.

[0029] The second objective of this invention is to provide a control system for precision machining of irregularly shaped copper strips. This system monitors and adjusts the copper strip machining and results in real time, records online data promptly, establishes a database, and facilitates timely traceability.

[0030] The above-mentioned technical objective of the present invention is achieved through the following technical solution: a control system for precision machining of irregularly shaped copper strips, comprising:

[0031] The data detection module includes a thickness detection unit and a width detection unit, which are used to detect thickness and width data in real time.

[0032] The data analysis module is used to analyze and judge the detected thickness and width data.

[0033] The data processing module performs corresponding data processing based on the judgment results of the data analysis module.

[0034] The machining control module includes a thickness machining control unit, a width machining control unit, a machining position control unit, a motion control unit, a PLC control module, a PID motion control adjustment module, a traction system control module, and a spindle speed control module, which are used to execute relevant machining operations based on data processing results.

[0035] The system control module controls the aforementioned modules to perform relevant operations based on the control method for precision machining of irregular copper strip shapes.

[0036] Furthermore, the system control module communicates with the data detection module, data analysis module, data processing module, thickness processing control unit, width processing control unit, processing position control unit, motion control unit, PLC control module, PID motion control adjustment module, traction system control module, and spindle speed control module using ModBus and TCP / IP protocols, ensuring data stability and anti-interference capabilities.

[0037] The third objective of this invention is to provide a control device for precision machining of irregularly shaped copper strips. This device can automatically machine copper strips, monitor and adjust the machining results in real time, record online data in a timely manner, establish a database, and facilitate timely traceability.

[0038] The above-mentioned technical objective of the present invention is achieved through the following technical solution: a control device for precision machining of irregularly shaped copper strips, comprising:

[0039] At least one processor; and

[0040] At least one memory communicatively connected to the processor;

[0041] The memory stores instructions that can be executed by a processor, which are then executed by the processor to cause the device to perform the aforementioned control method for precision machining of irregularly shaped copper strips.

[0042] In summary, the present invention has the following beneficial effects:

[0043] 1. The thickness detection and control function dynamically determines the thickness based on the actual thickness value plus a compensation value. It can detect the processing thickness in real time and dynamically adjust the model based on the data acquisition model and the PID feedback adjustment model of the threshold difference. It can dynamically control the processing accuracy to ensure that the thickness accuracy is within the threshold range. It can also automatically record and save the thickness data online for easy access and traceability by users.

[0044] 2. The width detection automatic control function performs visual positioning based on the actual processed width and obtains the real-time width based on the image algorithm. Then, it compares the width with the set standard width plus the compensation value to determine the range to be adjusted and adjust it in real time. Similarly, it can dynamically and accurately ensure that the width processing value is within the threshold range. It can also collect and save data in the online mode for easy access and traceability by users. Attached Figure Description

[0045] The specific embodiments of the present invention will be further explained below with reference to the accompanying drawings.

[0046] Figure 1 This is a flowchart illustrating the control method for precision machining of irregularly shaped copper strips in Example 1;

[0047] Figure 2 This is a schematic diagram of the original data acquisition process in the control method for precision machining of irregular copper strips in Example 1;

[0048] Figure 3 This is an example diagram of the data acquisition curve in the control method for precision machining of irregular copper strips in Example 1;

[0049] Figure 4 This is a system block diagram of the control system for precision machining of irregularly shaped copper strips in Example 2. Detailed Implementation

[0050] Example 1

[0051] Combination Figure 1 and Figure 2 As shown in the figure, a control method for precision machining of irregular copper strips in this embodiment includes a thickness machining control process and a width detection control process. The initial running values ​​are preset by the user according to the actual machining needs. The initial running values ​​include information such as marked thickness, standard width, machining type, traction speed, spindle speed, width threshold, thickness threshold, and measurement position.

[0052] The thickness processing control process includes the following steps:

[0053] Step S1: The user sets the standard processing thickness data and sets the maximum and minimum threshold range for the data;

[0054] Step S2: Set the thickness detection position;

[0055] Step S3: Perform normal processing and measure the actual processing data (real-time thickness data). In this embodiment, specifically, the minimum threshold for standard processing thickness is set to 0.970 mm, and the maximum threshold is set to 0.990 mm. Two thickness detection positions are set, and the collected thickness data is as follows: Figure 3 As shown, Figure 3The blue and green curves in the image show the actual thickness measurements at the two locations, respectively.

[0056] Step S4: Determine the difference between the actual processing data and the set standard data:

[0057] S4.1: If the actual value is within the threshold range of the standard deviation, proceed with normal processing, plot the thickness curve based on the data, and generate a table of the data;

[0058] S4.2: If the actual value and the standard deviation exceed the threshold range, adjust the relevant actuators according to the actual difference, and then continue to monitor the actual value to proceed to step S3;

[0059] S4.3: If, after the above adjustments, the actual value still exceeds the threshold of the standard value, the device will issue an alarm, requiring manual intervention.

[0060] Step S5: Process ends.

[0061] In this embodiment, preferably, the thickness processing control process is debugged, a standard thickness value is set, and upper and lower limit thresholds are set to obtain a standard value for generating a set of calculation algorithms. Through a stable thickness data acquisition sensor, and based on the actual thickness change, the thickness change is converted into a PID closed-loop adjustment of the axis of processing thickness, thereby obtaining an automatic control algorithm to ensure that the processing accuracy is within the control range.

[0062] Based on the characteristics of this processing flow, the thickness tool being processed is a fixed-diameter cutter. Therefore, it is confirmed that there cannot be any abrupt changes in the data between two consecutive values. If the subsequent data is larger or smaller than the previous data by a certain value, then this value is considered noise rather than a correct value. Therefore, it is necessary to filter and denoise the collected thickness data.

[0063] In this embodiment, preferably, the collected thickness data is filtered and denoised during the thickness processing control process. Then determine If it's noise, replace it with the previous correct value, that is... , This represents the collected thickness data. , This is a threshold used to determine whether thickness data is noise. This represents the absolute value symbol. Specifically, in this embodiment, The range of values ​​is In this embodiment, we take That is, when the subsequent data is larger or smaller than the previous data by more than 0.5 mm, the thickness data is regarded as noise and replaced with the previous correct value.

[0064] In this embodiment, preferably, during the thickness processing control process, the thickness is adjusted in real time. If, while obtaining the correct value, the value gradually increases in one direction to a size threshold, and multiple such values ​​(3 or more) appear consecutively, then the difference from the standard value is averaged and divided by 2 for thickness processing adjustment. This involves modeling the adjustment position, and the modeling formula is: Where S is the derived value that needs to be adjusted. Representing the One difference, N is the total number of differences.

[0065] The width detection control process is as follows:

[0066] Step S1: Set the area for width detection;

[0067] Step S2: Set the standard value for the width and the maximum and minimum thresholds;

[0068] Step S3: Process according to standards;

[0069] Step S4: Detect the actual width value of the processed part and generate a table. Specifically, in this embodiment, the minimum threshold for the standard width is set to 16.900 mm, and the maximum threshold is set to 17.100 mm. One width detection area is set, and the collected width data is as follows: Figure 3 As shown, Figure 3 The blue curve shows the actual measured width of a region:

[0070] S4.1 If the offset value is within the set offset range, then draw the width standard curve based on the new data and save the new data as reference data;

[0071] S4.2 If the offset value is greater than the threshold range, the system will adjust the position of the relevant mechanism according to the deviation range. If the actual value is always outside the threshold range after adjustment, an alarm signal requiring manual intervention will be given.

[0072] Step S5: Process ends.

[0073] Based on the characteristics of this processing flow, the thickness tool being processed is a fixed-width cutter. Therefore, it is confirmed that there cannot be any abrupt changes in the data between two consecutive values. If the subsequent data is larger or smaller than the previous data by a certain value, then this value is considered noise rather than a correct value. Therefore, it is also necessary to filter and denoise the collected width data.

[0074] In this embodiment, preferably, the collected width data is filtered and denoised during the width detection and control process. Then determine If it's noise, replace it with the previous correct value, that is... , This represents the width data collected. , This is a threshold used to determine whether width data is noise. The range of values ​​is , This represents the absolute value symbol. Specifically, in this embodiment, The value is 0.01 mm. That is, when the subsequent data is larger or smaller than the previous data by more than 0.01 mm, the width data is regarded as noise and replaced with the previous correct value.

[0075] In this embodiment, preferably, the width measurement value is calculated as follows in the width detection control process: width value = number of pixels * preset calibration value + compensation value, where the preset calibration value is the pixel size, which is set by the user through the interface. ,in, This represents the number of pixels in the image, with a pixel size of 0.01263803 mm. The compensation value is set by the user through the interface.

[0076] In this embodiment, preferably, if the thickness or width value is adjusted and the detected width or thickness value does not change, and the collected data shows this multiple times consecutively, it is determined that there is a problem with the processing technology, and an alarm is issued in time, requiring manual intervention.

[0077] Example 2

[0078] Combination Figure 4 As shown, a control system for precision machining of irregularly shaped copper strips in this embodiment includes:

[0079] The data detection module includes a thickness detection unit and a width detection unit, which are used to detect thickness and width data in real time.

[0080] The data analysis module is used to analyze and judge the detected thickness and width data.

[0081] The data processing module performs corresponding data processing based on the judgment results of the data analysis module.

[0082] The machining control module includes a thickness machining control unit, a width machining control unit, a machining position control unit, a motion control unit, a PLC control module, a PID motion control adjustment module, a traction system control module, and a spindle speed control module, which are used to execute relevant machining operations based on data processing results.

[0083] The system control module controls the aforementioned modules to perform relevant operations according to the control method for precision machining of irregular copper strips in Example 1.

[0084] In this preferred embodiment, the system control module communicates with the data detection module, data analysis module, data processing module, thickness processing control unit, width processing control unit, processing position control unit, motion control unit, PLC control module, PID motion control adjustment module, traction system control module, and spindle speed control module using ModBus and TCP / IP protocols to ensure data stability and anti-interference capabilities.

[0085] Example 3

[0086] This embodiment provides a control device for precision machining of irregularly shaped copper strips, comprising:

[0087] At least one processor; and

[0088] At least one memory communicatively connected to the processor;

[0089] The memory stores instructions that can be executed by a processor, which are then executed by the processor to enable the device to perform the control method for precision machining of irregularly shaped copper strips in Embodiment 1.

[0090] This device can automatically process copper strips, monitor and adjust the processing results in real time, record online data in a timely manner, and establish a database for convenient and timely traceability.

[0091] Many specific details have been set forth in the foregoing description to provide a thorough understanding of the present invention. However, the above description is merely a preferred embodiment of the present invention, and the present invention can be implemented in many other ways different from those described herein. Therefore, the present invention is not limited to the specific embodiments disclosed above. Furthermore, any person skilled in the art can make many possible variations and modifications to the technical solutions of the present invention, or modify them into equivalent embodiments, using the methods and techniques disclosed above, without departing from the scope of the present invention. Any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention, without departing from the content of the present invention, shall still fall within the protection scope of the present invention.

Claims

1. A control method for precision machining of irregularly shaped copper strips, comprising a thickness machining control process and a width detection control process, characterized in that: The thickness processing control process includes the following steps: Step S1: The user sets the standard processing thickness data and sets the maximum and minimum threshold range for the data; Step S2: Set the thickness detection position; Step S3: Perform normal processing and measure the actual processing data; Step S4: Determine the difference between the actual processing data and the set standard data: S4.1: If the actual value is within the threshold range of the standard deviation, proceed with normal processing, plot the thickness curve based on the data, and generate a table of the data; S4.2: If the actual value and the standard deviation exceed the threshold range, adjust the relevant actuators according to the actual difference, and then continue to monitor the actual value to proceed to step S3; S4.3: If, after the above adjustments, the actual value still exceeds the threshold of the standard value, the device will issue an alarm, requiring manual intervention. Step S5: Process ends; The width detection control process is as follows: Step S1: Set the area for width detection; Step S2: Set the standard value for the width and the maximum and minimum thresholds; Step S3: Process according to standards; Step S4: Detect the actual width value of the processed part and generate a table: S4.1 If the offset value is within the set offset range, then draw the width standard curve based on the new data and save the new data as reference data; S4.2 If the offset value is greater than the threshold range, the system will adjust the position of the relevant mechanism according to the deviation range. If the actual value is always outside the threshold range after adjustment, an alarm signal requiring manual intervention will be given. Step S5: Process ends.

2. The control method for precision machining of irregularly shaped copper strips according to claim 1, characterized in that: The thickness processing control process involves debugging, setting a standard thickness value, and setting upper and lower limit thresholds to obtain a standard value for generating a set of calculation algorithms. Through stable thickness data acquisition sensors, and based on actual thickness changes, the thickness variation is converted into a PID closed-loop adjustment of the axis of processing thickness, thereby obtaining an automatic control algorithm to ensure that the processing accuracy is within the control range.

3. The control method for precision machining of irregularly shaped copper strips according to claim 1, characterized in that: In the thickness processing control process, the collected thickness data is filtered and noise-reduced. Then determine If it's noise, replace it with the previous correct value, that is... , This represents the collected thickness data. , This is a threshold used to determine whether thickness data is noise. It is the absolute value symbol.

4. The control method for precision machining of irregularly shaped copper strips according to claim 1, characterized in that: In the thickness processing control process, if the value gradually increases in one direction to the size threshold while obtaining the correct value, and multiple values ​​appear consecutively, then the difference from the standard value will be averaged and divided by 2 to adjust the thickness processing.

5. The control method for precision machining of irregularly shaped copper strips according to claim 1, characterized in that: In the width detection and control process, the collected width data is filtered and denoised. Then determine If it's noise, replace it with the previous correct value, that is... , This represents the width data collected. , This is a threshold used to determine whether width data is noise. It is the absolute value symbol.

6. The control method for precision machining of irregularly shaped copper strips according to claim 1, characterized in that: In the width detection control process, the width measurement value is calculated as follows: width = number of pixels * preset calibration value + compensation value.

7. The control method for precision machining of irregularly shaped copper strips according to claim 1, characterized in that: If the thickness or width value is adjusted but the detected width or thickness value does not change, and the collected data shows this multiple times consecutively, it is determined that there is a problem with the processing technology, and an alarm is issued in time, requiring manual intervention.

8. A control system for precision machining of irregularly shaped copper strips, characterized in that: include: The data detection module includes a thickness detection unit and a width detection unit, which are used to detect thickness and width data in real time. The data analysis module is used to analyze and judge the detected thickness and width data; The data processing module performs corresponding data processing based on the judgment results of the data analysis module; The machining control module includes a thickness machining control unit, a width machining control unit, a machining position control unit, a motion control unit, a PLC control module, a PID motion control adjustment module, a traction system control module, and a spindle speed control module, which are used to execute relevant machining operations based on data processing results. The system control module controls the aforementioned modules to perform relevant operations according to the control method for precision machining of irregular copper strips as described in any one of claims 1-7.

9. The control system for precision machining of irregularly shaped copper strips according to claim 8, characterized in that: The system control module communicates with the data detection module, data analysis module, data processing module, thickness processing control unit, width processing control unit, processing position control unit, motion control unit, PLC control module, PID motion control adjustment module, traction system control module, and spindle speed control module using ModBus and TCP / IP protocols.

10. A control device for precision machining of irregularly shaped copper strips, characterized in that: include: At least one processor; as well as At least one memory communicatively connected to the processor; The memory stores instructions that can be executed by a processor, which are then executed by the processor to cause the device to perform the control method for precision machining of irregularly shaped copper strips as described in any one of claims 1-7.

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