A software control method for a microbalance and a micro weighing correction system

Abstract

The present invention discloses a method for software control of a microbalance and a micro weighing correction system, which is applied in the field of software control of microbalances. The key points of the technical solution are as follows: in the automatic correction and calibration data process, the glue amount calibration curve uses the new glue point data as the reference data, so as to ensure that the glue amount calibration curve always reflects the latest glue point data, making the compensation result more real-time and accurate. When modeling the obtained glue amount calibration curve, m-1 straight lines between different frequencies are selected to establish m-1 stage models, and accordingly, the frequency corresponding to the normal glue dispensing weight of the corresponding glue dispenser is found and the frequency is transmitted back to the glue dispenser as a fixed constant; the technical effects are: good glue dispensing stability and more accurate compensation results.

Description

Technical Field

[0001] The present invention relates to the field of software control of microbalances, and particularly to a method for software control of a microbalance and a micro weighing correction system. Background Art

[0002] In high-end manufacturing industries, products such as mobile phone cameras, narrow bezels for full-screen displays, and fingerprint modules have extremely high requirements for the consistency of dispensing weights. The stability of the dispensing weight not only helps improve production efficiency but also reduces production costs. Therefore, precise control of the consistency of the dispensing weight is crucial. There are many factors affecting the dispensing volume, such as temperature, humidity, glue properties, air source, and the stability of injection control, etc. How to achieve on-line detection and quickly adjust the dispensing weight poses higher requirements for the accuracy of the entire system.

[0003] In the prior art, the glue volume compensation method mainly weighs the dispensed glue dots through an electronic scale to understand the change in the glue volume. If the glue dot is larger than the set value, the number of dispensed glue dots will be reduced subsequently. If the glue dot is smaller than the set value, the number of dispensed glue dots will be increased subsequently. However, the main defect of this method is that the amount of glue volume compensation depends on the single-point weight, and the minimum compensation value is the single-point weight value. The compensation value cannot be quantitatively and continuously adjusted according to requirements, and the compensation result may have large fluctuations, leaving room for improvement. Summary of the Invention

[0004] The first object of the present invention is to provide a method for software control of a microbalance, which has the advantages of good dispensing stability and more accurate compensation results.

[0005] The above technical object of the present invention is achieved through the following technical solutions: A method for software control of a microbalance includes a weighing compensation process and a calibration data correction process. The calibration data correction process is divided into an automatic calibration data correction process and a manual calibration data correction process; the weighing compensation process includes:

[0006] S1. The user sets the weighing period, the weight of the weighed glue drop, the offset standard of the actual glue volume weight, and the compensation range. When the weighing period arrives, the weighing compensation process is triggered;

[0007] S2. Glue drops are dispensed at the standard dispensing frequency, and new glue volume data is obtained by weighing;

[0008] S3. Judge the relationship between the glue volume offset standard and the compensation range;

[0009] S3.1. If the glue volume offset standard is less than the compensation range, the machine operates normally;

[0010] S3.2. If the glue volume offset standard is within the compensation range, new frequency data is compensated immediately, and then it returns to S2;

[0011] S3.3. If the glue amount deviation standard is greater than the compensation range, an alarm signal is given to prompt for manual intervention;

[0012] S4. The process ends;

[0013] The process of automatically correcting and calibrating data is as follows:

[0014] S1. Set the period for automatically correcting and calibrating data, the dispensing time, the corresponding dispensing frequency, and the deviation range standard;

[0015] S2. Trigger the process according to the set period;

[0016] S3. Dispense the glue amount according to the set dispensing time and the corresponding frequency;

[0017] S4. Extract the deviation value by comparing the actual glue amount at any point with the saved standard glue amount:

[0018] S4.1. If the deviation value is within the set deviation range, draw a glue amount calibration curve based on the new glue dot data, and save the new data as reference data;

[0019] S4.2. If the deviation value is not within the set deviation range, give an alarm signal for manual intervention;

[0020] S5. The process ends.

[0021] The present invention is further configured as: the process of manually correcting and calibrating data is used when doing the correction and calibration data for the first time. Dispense the glue amount according to the set dispensing time and the corresponding frequency, and directly draw a glue amount calibration curve based on the dispensed glue amount, and save it as a standard in the system for use as the standard data in the process of automatically correcting and calibrating data.

[0022] The present invention is further configured as: the vertical axis of the glue amount calibration curve is the frequency set by the user, the horizontal axis is the glue amount dispensed at the corresponding frequency, the range of the frequency is from a low frequency of 14 ms to a high frequency of 6 ms. The user weighs the glue amount dispensed at m different frequencies with a microbalance and measures it within n different dispensing times to obtain n groups of data. Take the average value of the glue amounts dispensed at the same frequency within different dispensing times in the n groups of data, and then extract the relationship between the glue amounts dispensed at m different frequencies and the frequency from the microbalance and draw a continuous calibration curve. Finally, use the calibration curve as the standard data in the subsequent process of automatically correcting and calibrating data.

[0023] The present invention is further configured such that after obtaining the glue amount calibration curve, the obtained curve law needs to be expressed by a formula or algebraic expression, that is, the obtained glue amount calibration curve is modeled. During the modeling process, m - 1 stage models are established with m - 1 straight lines. During the actual correction process, according to the actual glue amount, the model of the straight line corresponding to the corresponding stage is selected for calculation to generate a new glue amount calibration curve.

[0024] The present invention is further configured such that based on the newly generated glue amount calibration curve, the frequency corresponding to the normal dispensing weight of the corresponding dispensing machine is found, and the corrected correct frequency is fed back to the dispensing machine as a fixed constant of the dispensing machine.

[0025] The present invention is further configured such that the calculation method of the frequency is: frequency = (measured weight - previous calibration weight) * (subsequent calibration frequency - previous calibration frequency) / (subsequent calibration weight - previous calibration weight).

[0026] The second object of the present invention is to provide a micro weighing correction system, which has the advantages of good dispensing stability and more accurate compensation results.

[0027] The above technical object of the present invention is achieved by the following technical solutions: a micro weighing correction system, using a microbalance software control method as described in any one of the above technical solutions; including a micro weighing module, a dispensing automation device, and a dispensing control card. The micro weighing module and the micro weighing correction system realize the transmission of glue amount information, and the dispensing control card and the micro weighing correction system realize the transmission of new frequency parameters. The micro weighing correction system is used to control the dispensing automation device to trigger a weighing action, and the dispensing automation device is used to feed back a dispensing completion signal and a data acquisition end signal to the micro weighing correction system.

[0028] The present invention is further configured such that the micro weighing module and the dispensing control card and the micro weighing correction system realize data transmission based on the RS232 standard interface, and the dispensing automation device and the micro weighing correction system realize signal transmission based on the I / O interface.

[0029] In summary, the present invention has the following beneficial effects:

[0030] 1. In the automatic correction and calibration data process, the glue amount calibration curve always uses the new glue point data as the reference data, so as to ensure that the glue amount calibration curve always reflects the latest glue point data, making the compensation result more real - time and accurate. And when generating the glue amount calibration curve, the average value of multiple groups of glue amount data measured at the same frequency in different dispensing realizations is taken, and the relationship between the glue amount and frequency dispensed at m different frequencies is extracted and a continuous calibration curve is drawn, which greatly increases the reliability of the calibration data and further improves the stability of glue dispensing;

[0031] 2. When modeling the calibrated glue volume curve, m - 1 models for m - 1 stages are established by selecting m - 1 straight lines between different frequencies, and the frequency corresponding to the normal glue - dispensing weight of the corresponding glue - dispensing machine is found accordingly and the frequency is fed back to the glue - dispensing machine as a fixed constant. This avoids the situation where, due to machine differences, the calibrated glue volume curves generated by each machine are different, thus requiring a model to be established for each machine. While making the compensation result more accurate, it reduces the complexity of modeling. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 is a schematic structural diagram of the weighing compensation process of Embodiment 1;

[0033] Figure 2 is a schematic structural diagram of the process for automatically correcting and calibrating data of Embodiment 1;

[0034] Figure 3 is an example diagram of the calibrated glue volume curve of Embodiment 1;

[0035] Figure 4 is a schematic structural diagram of the micro - weighing correction system of Embodiment 2.

[0036] Reference numerals: 1, micro - weighing correction system; 2, micro - weighing module; 3, glue - dispensing automation equipment; 4, glue - dispensing control card. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] The present invention will be further described in detail below with reference to the accompanying drawings.

[0038] Embodiment 1:

[0039] Refer to Figure 1 and Figure 2 , a method for software control of a micro - balance, including a weighing compensation process and a process for correcting and calibrating data. The process for correcting and calibrating data is divided into an automatic process for correcting and calibrating data and a manual process for correcting and calibrating data. The weighing compensation process includes:

[0040] S1. The user sets the weighing period, the weight of the weighed glue drop, the offset standard of the actual glue volume weight, and the compensation range. When the weighing period arrives, the weighing compensation process is triggered;

[0041] S2. Glue drops are dispensed at the standard glue - dispensing frequency, and new glue volume data is obtained by weighing;

[0042] S3. Judge the relationship between the glue volume offset standard and the compensation range;

[0043] S3.1. If the glue volume offset standard is less than the compensation range, the machine operates normally;

[0044] S3.2. If the glue volume deviation standard is within the compensation range, compensate with new frequency data immediately and then return to S2;

[0045] S3.3. If the glue volume deviation standard is greater than the compensation range, give an alarm signal to prompt for manual intervention;

[0046] S4. The process ends.

[0047] The process of automatic calibration of calibration data is as follows:

[0048] S1. Set the period for automatic calibration of calibration data, the dispensing time, the corresponding dispensing frequency, and the deviation range standard;

[0049] S2. Trigger the process according to the set period;

[0050] S3. Dispense the glue volume according to the set dispensing time and the corresponding frequency;

[0051] S4. Extract the deviation value by comparing the actual glue volume at any point with the saved standard glue volume:

[0052] S4.1. If the deviation value is within the set deviation range, draw a glue volume calibration curve based on the new glue dot data and save the new data as reference data;

[0053] S4.2. If the deviation value is not within the set deviation range, give an alarm signal indicating that manual intervention is required;

[0054] S5. The process ends.

[0055] Specifically, the process of manual calibration of calibration data is used when doing calibration data for the first time. Dispense the glue volume according to the set dispensing time and the corresponding frequency, and directly draw a glue volume calibration curve based on the dispensed glue volume, and save it as a standard in the system for use as the standard data in the process of automatic calibration of calibration data. Similarly, the weighing compensation process also has a manual mode, and the operation is also carried out according to the steps of the automatic weighing compensation process. The manual weighing mode can be used when the test set period has not been reached. After the manual test is completed, the weighing period of the automatic weighing compensation process remains unchanged, and the value of the automatic weighing period is not updated.

[0056] Reference Figure 3, specifically, the vertical axis of the glue volume calibration curve is the frequency set by the user himself, and the horizontal axis is the glue volume spotted at the corresponding frequency. The range of the frequency is from the low frequency of 14 ms to the high frequency of 6 ms. The user weighs the glue volume spotted at m different frequencies with a microbalance and measures n groups of data within n different dispensing times. Take the average value of the glue volumes spotted at the same frequency within different dispensing times in the n groups of data. Subsequently, extract the relationship between the glue volumes spotted at m different frequencies and the frequency from the microbalance and draw a continuous calibration curve. Finally, use the calibration curve as the standard data in the subsequent automatic calibration data correction process. At the same time, the premise of generating the glue volume calibration curve is that the machine must be in a normal use state. According to the empirical value, it is considered that each machine will generate a corresponding glue volume calibration curve and the slope of this glue volume calibration curve is constant. Therefore, the slope of this glue volume calibration curve will be used as the standard for subsequent equipment correction. In this embodiment, m is usually selected as 5 frequencies within the range from the low frequency of 14 ms to the high frequency of 6 ms, which are 14 ms, 12 ms, 10 ms, 8 ms, and 6 ms respectively, and n is usually selected as 3 dispensing time periods, which are 1 h, 4 h, and 7 h respectively.

[0057] Reference Figure 3 , specifically, after obtaining the glue volume calibration curve, it is necessary to represent the obtained curve law with a formula or algebraic expression, that is, to model the obtained glue volume calibration curve. During the modeling process, due to the differences between each machine, the generated curve slopes are different, and there is even a possibility of connecting into a parabola. Therefore, modeling will result in one model for each machine. At the same time, the curve connected by 5 points is not a standard straight line, but a curve composed of 4 straight lines. Therefore, it may be difficult to build a model for the entire curve. Therefore, in order to reduce the complexity of modeling, m - 1 models in m - 1 stages are established with m - 1 straight lines. During the actual correction process, select the model of the straight line in the corresponding stage according to the actual glue volume for calculation to generate a new glue volume calibration curve, and find the frequency corresponding to the normal dispensing weight of the corresponding dispenser based on the newly generated glue volume calibration curve, and transmit the corrected correct frequency back to the dispenser as a fixed constant of the dispenser. The formula for the frequency is: frequency = (measured weight - previous calibration weight) * (subsequent calibration frequency - previous calibration frequency) / (subsequent calibration weight - previous calibration weight).

[0058] Specifically, the user needs to manually set the weighing period according to the empirical value in the weighing period of the weighing compensation process. The parameters of this weighing period are open to the user for input in the system. At the same time, in the period of automatically calibrating the calibration data in the automatic calibration data correction process, this period is a fixed time, which is set by the user as a standard parameter for machine use and is required to be input by the customer when the customer goes online, and subsequent automatic routine corrections are carried out according to this period.

[0059] Example 2:

[0060] Reference Figure 4 , a micro weighing correction system 1, comprising a micro weighing module 2, a dispensing automation device 3 and a dispensing control card 4. The micro weighing module 2 and the micro weighing correction system 1 transfer glue amount information. The dispensing control card 4 and the micro weighing correction system 1 transfer new frequency parameters. The micro weighing correction system 1 is used to control the dispensing automation device 3 to trigger a weighing action. The dispensing automation device 3 is used to send back a dispensing completion signal and a data acquisition end signal to the micro weighing correction system 1. The micro weighing module 2 and the dispensing control card 4 and the micro weighing correction system 1 implement data transmission based on the RS232 standard interface, and the dispensing automation device 3 and the micro weighing correction system 1 implement signal transmission based on the I / O interface.

[0061] This specific embodiment is only an explanation of the present invention and is not a limitation thereof. Those skilled in the art can make creative contributions to this embodiment according to needs after reading this specification, but as long as it is within the scope of the claims of the present invention, it is protected by the patent law.

Claims

1. A software control method for a microbalance, including a weighing compensation process and a calibration data correction process. The calibration data correction process is divided into an automatic calibration data correction process and a manual calibration data correction process; it is characterized in that, The weighing compensation process includes: S1. The user sets the weighing period, the weight of the weighed glue drop, the deviation standard of the actual glue amount from the standard, and the compensation range. When the weighing period arrives, the weighing compensation process is triggered. S2. Glue drops are dispensed at the standard dispensing frequency points, and new glue amount data is obtained by weighing. S3. Determine the relationship between the glue amount deviation standard and the compensation range. S3.

1. If the glue amount deviation standard is less than the compensation range, the machine operates normally. S3.

2. If the glue amount deviation standard is within the compensation range, new frequency data is compensated, and then it returns to S2. S3.

3. If the glue amount deviation standard is greater than the compensation range, an alarm signal is given to prompt for manual intervention. S4. The process ends. The process of automatically correcting and calibrating data is as follows: S1. Set the period for automatically correcting and calibrating data, the dispensing time, the corresponding dispensing frequency, and the deviation range standard. S2. Trigger the process according to the set period. S3. Dispense the glue amount according to the set dispensing time and the corresponding frequency. S4. Extract the deviation value by comparing the actual glue amount at any point with the saved standard glue amount: S4.

1. If the deviation value is within the set deviation range, a glue amount calibration curve is drawn based on the new glue point data, and the new data is saved as reference data. S4.

2. If the deviation value is not within the set deviation range, an alarm signal for manual intervention is given. S5. The process ends. Among them, the manual correction and calibration data process is used when doing the correction and calibration data for the first time. The glue amount is dispensed according to the set dispensing time and the corresponding frequency, and the glue amount calibration curve is directly drawn based on the dispensed glue amount, and it is saved as the standard in the system and used as the standard data in the automatic correction and calibration data process. The vertical axis of the glue amount calibration curve is the frequency set by the user, and the horizontal axis is the glue amount dispensed at the corresponding frequency. The range of the frequency is from the low frequency of 14 ms to the high frequency of 6 ms. The user weighs the glue amount dispensed at m different frequencies with a microbalance and measures it within n different dispensing times to obtain n groups of data. The average value of the glue amounts dispensed at the same frequency within different dispensing times in the n groups of data is taken. Then, the relationship between the glue amounts dispensed at m different frequencies and the frequency is extracted from the microbalance and a continuous calibration curve is drawn. Finally, the calibration curve is used as the standard data in the subsequent automatic correction and calibration data process.

2. The software control method for a microbalance according to claim 1, characterized in that, After obtaining the glue amount calibration curve, the law of the obtained curve needs to be expressed by a formula or algebraic expression, that is, the obtained glue amount calibration curve is modeled. During the modeling process, m - 1 straight lines are used to establish m - 1 stage models, and in the actual correction process, the model of the straight line in the corresponding stage is selected according to the actual glue amount for calculation to generate a new glue amount calibration curve.

3. The software control method for a microbalance according to claim 2, characterized in that, Based on the newly generated glue amount calibration curve, find the frequency corresponding to the normal dispensing weight of the corresponding dispensing machine, and send the corrected correct frequency back to the dispensing machine as a fixed constant of the dispensing machine.

4. The software control method for a microbalance according to claim 3, characterized in that, The calculation method of the frequency is: Frequency = (Measured weight - Previous calibrated weight) * (Subsequent calibrated frequency - Previous calibrated frequency) / (Subsequent calibrated weight - Previous calibrated weight).

5. A micro weighing correction system using the software control method for a microbalance according to any one of claims 1-4; it is characterized in that, It includes a micro weighing module (2), a dispensing automation device (3), and a dispensing control card (4). The micro weighing module (2) transmits glue volume information to the micro weighing correction system (1), and the dispensing control card (4) transmits new frequency parameters to the micro weighing correction system (1). The micro weighing correction system (1) is used to control the dispensing automation device (3) to trigger a weighing action, and the dispensing automation device (3) is used to transmit a dispensing completion signal and a data acquisition end signal back to the micro weighing correction system (1).

6. The micro weighing correction system according to claim 5, characterized in that, The micro weighing module (2) and the dispensing control card (4) transmit data to the micro weighing correction system (1) based on the RS232 standard interface, and the dispensing automation device (3) transmits signals to the micro weighing correction system (1) based on the I / O interface.

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