Screen laminating equipment operation monitoring system based on parameter diagnosis

Abstract

The invention relates to the technical field of screen laminating equipment, and particularly discloses a screen laminating equipment operation monitoring system based on parameter diagnosis, and the system comprises a temperature monitoring module which comprises an infrared camera, a position correction module and an infrared image processing module and is arranged at one side of a laminating end of laminating equipment, the infrared image acquisition module is used for acquiring and correcting infrared image information of the fitting end and monitoring the heating state of the fitting end according to the corrected image information; the air pressure monitoring module is used for acquiring the real-time power and the real-time negative pressure of the vacuum pump and monitoring the negative pressure state of the laminating equipment according to the real-time power and the real-time negative pressure; the diagnosis module is used for diagnosing the operation process of the laminating equipment according to the monitored heating state of the laminating end and the negative pressure state of the laminating equipment, and performing early warning according to the diagnosis process; the system can judge the control effectiveness of the temperature in combination with the uniformity of the temperature and the deviation state of the standard temperature.

Description

Technical Field

[0001] This invention relates to the field of screen bonding equipment technology, specifically to a screen bonding equipment operation monitoring system based on parameter diagnosis. Background Technology

[0002] In the production process of display screens, a screen bonding process is carried out. This process is mainly realized by a screen bonding machine. The glass and the display screen are aligned and placed in the screen bonding machine, and the screen bonding machine is used to tightly bond the two together to complete the screen bonding process.

[0003] Existing screen laminating machines primarily utilize vacuum adsorption, heating, pressing, and cooling to complete the screen lamination process. First, the machine uses a vacuum adsorption device to fix the touchscreen and display screen onto upper and lower heating plates, ensuring they don't shift or loosen during lamination. Next, the heating device controls the temperature of the upper and lower heating plates through a temperature control system to reach the lamination temperature. At this temperature, the adhesive cures rapidly, ensuring a good bond. Then, a hydraulic system controls the movement of the upper and lower heating plates, bringing them together to tightly bond the touchscreen and display screen together. In monitoring the operation of the screen laminating machine, current technology mainly focuses on controlling the temperature of the heating device and the magnitude of the negative pressure to ensure its normal operation.

[0004] In the monitoring of existing screen bonding operations, for large-area upper and lower heating plates, the single temperature peak judgment method cannot accurately judge the status of the heating plates. Consequently, when heating abnormalities occur, timely judgment cannot be made, leading to problems such as product scrapping and rework. Summary of the Invention

[0005] The purpose of this invention is to provide a screen bonding device operation monitoring system based on parameter diagnosis, and to solve the following technical problems:

[0006] How to more accurately diagnose and monitor the operating status of screen bonding devices.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A screen bonding device operation monitoring system based on parameter diagnosis, the system comprising:

[0009] The temperature monitoring module, including an infrared camera, a position correction module and an infrared image processing module, is located on one side of the bonding end of the bonding device. It is used to collect infrared image information of the bonding end and correct it, and to monitor the heating status of the bonding end based on the corrected image information.

[0010] The air pressure monitoring module is used to obtain the real-time power and real-time negative pressure of the vacuum pump, and to monitor the negative pressure status of the bonding equipment based on the real-time power and real-time negative pressure.

[0011] The diagnostic module is used to diagnose the operation of the bonding equipment based on the monitored heating status of the bonding end and the negative pressure status of the bonding equipment, and to issue early warnings based on the diagnostic process.

[0012] Furthermore, the process of monitoring the heating status of the bonding end includes:

[0013] S1. During the pre-setting process at the bonding end of the bonding equipment, acquire infrared image information and perform correction;

[0014] S2. Collect image frames at preset time intervals, obtain the temperature value corresponding to each point in each image frame according to the M×N equally spaced dot matrix, and obtain the temperature anomaly value of the corresponding time point of the image frame based on the temperature value corresponding to each point.

[0015] S3. Fit the temperature anomalies corresponding to all image frames to obtain the heating characteristic curve, and judge the heating status of the bonding end based on the heating characteristic curve and the temperature anomalies corresponding to all image frames.

[0016] Furthermore, the process for determining the degree of temperature anomaly includes:

[0017] Through the formula:

[0018]

[0019]

[0020] Calculate the temperature anomaly M at the time point corresponding to the current image frame. T ;

[0021] Where i represents the order of the points in the dot matrix, i = 1, 2, ..., M*N; T i T0_f is the temperature value corresponding to the i-th point; T0_f is the standard temperature value at the corresponding time point of the current image frame; s T This is the temperature uniformity coefficient; This is the average temperature at all points.

[0022] Furthermore, step S3 includes the following process:

[0023] The temperature anomaly is fitted according to the time points corresponding to the image frames to obtain the temperature anomaly curve M. T (t);

[0024] Through the formula:

[0025] G=(w1*M T (t1)+w2*MT (t X ))*A (3)

[0026]

[0027] The overall temperature anomaly coefficient G is calculated, and the heating status of the bonding end is judged based on the overall temperature anomaly coefficient G.

[0028] Where t0 is the preheating start time, t1 is the preset end time, and M is the preheating start time. T (t X M represents the time period from t0 to t1. T (t) is the maximum value; w1 and w2 are weighting coefficients, and w1+w2=1; A is the overall deviation of temperature anomaly.

[0029] Furthermore, the operation of the air pressure monitoring module includes:

[0030] The standard output power and required negative pressure of the vacuum pump are obtained based on the control parameters of the vacuum pump. The real-time power of the vacuum pump is compared with the standard output power, and the real-time negative pressure is compared with the required negative pressure. The negative pressure control status of the bonding equipment is monitored based on the comparison results.

[0031] Furthermore, the process of monitoring the negative pressure control status of the bonding equipment is as follows:

[0032] Through the formula:

[0033]

[0034] The abnormal value u of negative pressure control is calculated, and the negative pressure control status of the equipment is judged based on the abnormal value u.

[0035] Where pw(t) is the real-time power curve, pw0(t) is the standard output power curve of the vacuum pump; pr(t) is the real-time negative pressure curve, pr0(t) is the required negative pressure curve; and pwe is the rated power of the vacuum pump. This is the average value of pw0(t) during the time period from t0 to t1.

[0036] Furthermore, the diagnostic module's diagnostic and early warning process includes:

[0037] The overall temperature anomaly coefficient G and the negative pressure control anomaly value u are compared with the corresponding standard thresholds G1 and u1, respectively:

[0038] If there exists any one or both of G≥G1 or u≥u1, then a warning will be issued;

[0039] Otherwise, a coordinated judgment is made on the real-time negative pressure magnitude and the temperature values ​​of all points, and a warning is issued based on the results of the coordinated judgment.

[0040] Furthermore, the process of determining the synergy includes:

[0041] Obtain the corresponding negative pressure magnitude and the average temperature value of all points according to the time point corresponding to the image frame;

[0042] Through the formula:

[0043]

[0044]

[0045] The synergy coefficient r is calculated.

[0046] Where Q is the number of image frames, j = 1, 2, ..., Q; Cov(T, Pr) is the covariance of temperature and negative pressure; T j The average temperature of all points at the time corresponding to the j-th image frame; For all T j The mean of Pr j The magnitude of the negative pressure at the time point corresponding to the j-th image frame; For all Pr j The mean of T; D(T) is the sum of all T j The variance; D(Pr) is the variance of all Pr j The variance;

[0047] Determine if 1 ≥ r ≥ 0.7:

[0048] If yes, then the coordination status is considered normal;

[0049] Otherwise, a warning will be issued.

[0050] The beneficial effects of this invention are:

[0051] (1) The present invention monitors the temperature control status and negative pressure control status of the screen bonding device through a temperature monitoring module and an air pressure monitoring module, respectively, so as to diagnose and monitor the operating status of the screen bonding device. During the heating status monitoring process, by dividing the points, the temperature data of each position of the bonding end can be obtained more comprehensively. The effectiveness of temperature control can be judged by combining the temperature uniformity and the deviation from the standard temperature.

[0052] (2) The present invention can accurately judge the power conversion process, negative pressure control process and equipment airtightness status of the entire negative pressure adjustment process, and handle abnormalities in a timely manner to ensure the stability of equipment operation.

[0053] (3) In order to avoid the risk of some models running out of time, the present invention determines whether to issue an early warning based on the results of the synergy judgment, and can adjust the parameters of the equipment in a timely manner based on the early warning. Attached Figure Description

[0054] The invention will now be further described with reference to the accompanying drawings.

[0055] Figure 1 This is a logic block diagram of the screen bonding device operation monitoring system based on parameter diagnosis according to the present invention;

[0056] Figure 2 This is a flowchart of the process for monitoring the heating status of the bonding end in this invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Please see Figure 1 As shown, in one embodiment, a screen bonding device operation monitoring system based on parameter diagnosis is provided. This system monitors the temperature control status and negative pressure control status of the screen bonding device through a temperature monitoring module and an air pressure monitoring module, respectively, to diagnose and monitor the operating status of the screen bonding device. The temperature monitoring module includes an infrared camera, a position correction module, and an infrared image processing module. The infrared camera is positioned on one side of the bonding end of the bonding device, enabling it to acquire infrared image information of the bonding end from the side, thereby obtaining the overall temperature status of the bonding end. Furthermore, since the image acquired by the infrared camera is at an angle, for better analysis, [the system uses...]. The position correction module corrects the infrared image information, thereby better monitoring the heating status of the bonding end based on the corrected image information. In addition, the air pressure monitoring module acquires the real-time power and real-time negative pressure of the vacuum pump, and monitors the negative pressure status of the bonding equipment based on the real-time power and real-time negative pressure, so as to judge the accuracy of negative pressure control and the airtightness of the screen bonding equipment. Finally, the diagnostic module diagnoses the operation process of the bonding equipment based on the monitored heating status of the bonding end and the negative pressure status of the bonding equipment, and issues early warnings based on the diagnostic process, so as to ensure that the risks of the bonding equipment can be detected and resolved in a timely manner, and avoid equipment abnormalities affecting normal production.

[0059] As one embodiment of the present invention, please refer to Figure 2As shown, the process of monitoring the heating status of the bonding end includes: S1. During the preset process of the bonding end of the bonding equipment, infrared image information is acquired and corrected. This process is implemented through the image processing method in the prior art, which will not be elaborated here; S2. Image frames are acquired at preset time intervals. For each image frame, the temperature value corresponding to each point is obtained according to the N×M equally spaced dot matrix. It should be noted that the specific quantities of N and M are selected and set according to the area of ​​the bonding end of the bonding equipment. The temperature anomaly value at the corresponding time point of the image frame is obtained according to the temperature value corresponding to each point. By dividing the points, the temperature data of each position of the bonding end can be acquired more comprehensively, which is convenient for the subsequent analysis process; S3. The temperature anomaly value corresponding to all image frames is fitted to obtain the heating characteristic curve. The heating status of the bonding end is judged according to the heating characteristic curve and the temperature anomaly value corresponding to all image frames; The process of judging the temperature anomaly degree includes:

[0060] Through the formula:

[0061]

[0062]

[0063] Calculate the temperature anomaly M at the time point corresponding to the current image frame. T ;

[0064] Where i represents the order of the points in the dot matrix, i = 1, 2, ..., M*N; T i T0_f represents the temperature value corresponding to the i-th point; T0_f is the standard temperature value at the corresponding time point of the current image frame, which is obtained based on the corresponding value of the control data in the standard system; s T This is the temperature uniformity coefficient; The temperature is the average value across all points. Therefore, by calculating the temperature uniformity coefficient, we can obtain the value through s. T By judging the temperature uniformity at various points on the bonding surface and then calculating the temperature anomaly, the effectiveness of temperature control can be judged by combining the temperature uniformity and the deviation from the standard temperature.

[0065] In one embodiment of the present invention, step S3 includes: fitting the temperature anomaly according to the time point corresponding to the image frame to obtain the temperature anomaly curve M. T (t); then use the formula:

[0066] G=(w1*M T (t1)+w2*M T (t X ))*A (3)

[0067]

[0068] The overall temperature anomaly coefficient G is calculated, and the heating status of the bonding end is judged based on the overall temperature anomaly coefficient G. By analyzing the temperature anomaly curve of the entire preheating period, it is possible to directly determine whether the heating device of the bonding equipment can reach the required temperature state. On the other hand, it is possible to monitor the changing trend of temperature anomaly during the process and make timely judgments on potential risks of the heating module. In the formula, t0 is the preheating start time point, t1 is the preset end time point, and M... T (t X M represents the time period from t0 to t1. T (t) Maximum value; w1 and w2 are weighting coefficients, and w1+w2=1. Different weights are selected and set according to empirical data. A is the overall deviation of temperature anomaly. Therefore, through the above calculation process of the overall temperature anomaly coefficient, G can be used to make a comprehensive judgment on the control accuracy and heating uniformity of the heating device in the whole preheating process.

[0069] In one embodiment of the present invention, the working process of the air pressure monitoring module includes: obtaining the standard output power and required negative pressure of the vacuum pump according to the control parameters of the vacuum pump; comparing the real-time power of the vacuum pump with the standard output power of the vacuum pump; comparing the real-time negative pressure with the required negative pressure; and monitoring the negative pressure control status of the bonding equipment based on the comparison results. The process of monitoring the negative pressure control status of the bonding equipment is as follows:

[0070]

[0071] The abnormal value u of negative pressure control is calculated, and the negative pressure control status of the equipment is judged based on the abnormal value u. Here, pw(t) is the real-time power curve, pw0(t) is the standard output power curve of the vacuum pump; pr(t) is the real-time negative pressure magnitude curve, pr0(t) is the required negative pressure magnitude curve, which is obtained from standard product test data or factory data; pwe is the rated power of the vacuum pump. The average value of pw0(t) during the period from t0 to t1 is given. Therefore, by calculating the abnormal value of the negative pressure control, we can accurately judge the power conversion process, negative pressure control process and equipment airtightness status of the entire negative pressure adjustment process through u. When there is an abnormality, we can deal with it in time and ensure the stability of equipment operation.

[0072] As one embodiment of the present invention, the diagnostic module performs diagnosis and early warning as follows: the overall temperature anomaly coefficient G and the negative pressure control anomaly value u are compared with the corresponding standard thresholds G1 and u1, respectively. The standard thresholds G1 and u1 are obtained by fitting the extreme values ​​of the error in the empirical data. Therefore, if either G≥G1 or u≥u1 exists, it indicates that the equipment has a greater operational risk, and thus an early warning is issued. Otherwise, a collaborative judgment is made on the real-time negative pressure magnitude and the temperature values ​​of all points. Since the bonding equipment operates simultaneously with each other, in order to avoid the risk of some models lagging behind, the collaborative judgment result determines whether to issue an early warning, and the parameters of the equipment can be adjusted in a timely manner according to the early warning. The collaborative judgment process includes: obtaining the corresponding negative pressure magnitude and the average temperature value of all points according to the time point corresponding to the image frame.

[0073] Through the formula:

[0074]

[0075]

[0076] The synergy coefficient r is calculated. If 1 ≥ r ≥ 0.7, it indicates that the output parameters of the two are synergistic, and the synergy status is normal; otherwise, an early warning is issued.

[0077] It should be noted that in the formula, Q represents the number of image frames, j = 1, 2, ..., Q; Cov(T, Pr) is the covariance of temperature and negative pressure; T j The average temperature of all points at the time corresponding to the j-th image frame; For all T j The mean of Pr j The magnitude of the negative pressure at the time point corresponding to the j-th image frame; For all Pr j The mean of T; D(T) is the sum of all T j The variance; D(Pr) is the variance of all Pr j The variance.

[0078] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A screen bonding equipment operation monitoring system based on parameter diagnosis, characterized in that, The system includes: The temperature monitoring module, including an infrared camera, a position correction module and an infrared image processing module, is located on one side of the bonding end of the bonding device. It is used to collect infrared image information of the bonding end and correct it, and to monitor the heating status of the bonding end based on the corrected image information. The air pressure monitoring module is used to obtain the real-time power and real-time negative pressure of the vacuum pump, and to monitor the negative pressure status of the bonding equipment based on the real-time power and real-time negative pressure. The diagnostic module is used to diagnose the operation of the bonding equipment based on the monitored heating status of the bonding end and the negative pressure status of the bonding equipment, and to issue early warnings based on the diagnostic process.

2. The screen bonding equipment operation monitoring system based on parameter diagnosis according to claim 1, characterized in that, The process of monitoring the heating status of the bonding end includes: S1. During the pre-setting process at the bonding end of the bonding equipment, acquire infrared image information and perform correction; S2. Collect image frames at preset time intervals, obtain the temperature value corresponding to each point in each image frame according to the M×N equally spaced dot matrix, and obtain the temperature anomaly value of the corresponding time point of the image frame based on the temperature value corresponding to each point. S3. Fit the temperature anomalies corresponding to all image frames to obtain the heating characteristic curve, and judge the heating status of the bonding end based on the heating characteristic curve and the temperature anomalies corresponding to all image frames.

3. The screen bonding equipment operation monitoring system based on parameter diagnosis according to claim 2, characterized in that, The process for determining the degree of temperature anomaly includes: Through the formula: Calculate the temperature anomaly M at the time point corresponding to the current image frame. T ; Where i represents the order of the points in the dot matrix, i = 1, 2, ..., M*N; T i T0_f is the temperature value corresponding to the i-th point; T0_f is the standard temperature value at the corresponding time point of the current image frame; s T This is the temperature uniformity coefficient; This is the average temperature at all points.

4. The screen bonding equipment operation monitoring system based on parameter diagnosis according to claim 3, characterized in that, Step S3 includes the following process: The temperature anomaly is fitted according to the time points corresponding to the image frames to obtain the temperature anomaly curve M. T (t); Through the formula: G=(w1*M T (t1)+w2*M T (t X ))*A (3) The overall temperature anomaly coefficient G is calculated, and the heating status of the bonding end is judged based on the overall temperature anomaly coefficient G. Where t0 is the preheating start time, t1 is the preset end time, and M is the preheating start time. T (t X M represents the time period from t0 to t1. T (t) is the maximum value; w1 and w2 are weighting coefficients, and w1+w2=1; A is the overall deviation of temperature anomaly.

5. The screen bonding equipment operation monitoring system based on parameter diagnosis according to claim 4, characterized in that, The operation of the air pressure monitoring module includes: The standard output power and required negative pressure of the vacuum pump are obtained based on the control parameters of the vacuum pump. The real-time power of the vacuum pump is compared with the standard output power, and the real-time negative pressure is compared with the required negative pressure. The negative pressure control status of the bonding equipment is monitored based on the comparison results.

6. The screen bonding equipment operation monitoring system based on parameter diagnosis according to claim 5, characterized in that, The process of monitoring the negative pressure control status of the bonding equipment is as follows: Through the formula: The abnormal value u of negative pressure control is calculated, and the negative pressure control status of the equipment is judged based on the abnormal value u. Where pw(t) is the real-time power curve, pw0(t) is the standard output power curve of the vacuum pump; pr(t) is the real-time negative pressure curve, pr0(t) is the required negative pressure curve; and pwe is the rated power of the vacuum pump. This is the average value of pw0(t) during the time period from t0 to t1.

7. The screen bonding equipment operation monitoring system based on parameter diagnosis according to claim 6, characterized in that, The diagnostic module performs the following diagnostic and early warning processes: The overall temperature anomaly coefficient G and the negative pressure control anomaly value u are compared with the corresponding standard thresholds G1 and u1, respectively: If there exists any one or both of G≥G1 or u≥u1, then a warning will be issued; Otherwise, a coordinated judgment is made on the real-time negative pressure magnitude and the temperature values ​​of all points, and a warning is issued based on the results of the coordinated judgment.

8. The screen bonding equipment operation monitoring system based on parameter diagnosis according to claim 7, characterized in that, The process of determining synergy includes: Obtain the corresponding negative pressure magnitude and the average temperature value of all points according to the time point corresponding to the image frame; Through the formula: The synergy coefficient r is calculated. Where Q is the number of image frames, j = 1, 2, ..., Q; Cov(T, Pr) is the covariance of temperature and negative pressure; T j The average temperature of all points at the time corresponding to the j-th image frame; For all T j The mean of Pr j The magnitude of the negative pressure at the time point corresponding to the j-th image frame; For all Pr j The mean of T; D(T) is the sum of all T j The variance; D(Pr) is the variance of all Pr j The variance; Determine if 1 ≥ r ≥ 0.7: If yes, then the coordination status is considered normal; Otherwise, a warning will be issued.

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