Glue hanging blockage detection method for glue dispenser

Abstract

The invention relates to the technical field of dispensing equipment, in particular to a glue hanging blockage detection method for a dispensing machine. The method specifically comprises the steps that dispensing process parameters in a dispenser controller are obtained, dispensing abnormity monitoring is carried out according to the changing state of the dispensing process parameters, a fault data monitoring list is established, meanwhile, dispensing fault prediction is carried out according to the dispensing process parameters in the fault data monitoring list, and early warning is carried out on potential dispensing fault problems. According to the glue hanging blockage detection method for the glue dispenser, glue dispensing abnormity monitoring can be automatically carried out according to existing glue dispensing process parameters, meanwhile, early warning of possible glue dispensing faults can be carried out according to glue dispensing abnormity monitoring data, and compared with a traditional manual maintenance mode, the glue hanging blockage detection method for the glue dispenser has the advantages that the working efficiency is greatly improved. And the automation degree and the real-time dispensing quality of the dispensing machine can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of glue dispensing equipment, and in particular to a method for detecting glue blocking of a glue dispensing machine. Background Art

[0002] During the use of the glue dispenser, due to the properties of the glue material, the glue dispenser has not been used for a long time after the glue is injected, the glue dispenser has pinholes or impurities mixed in the glue, and many other problems, all of which will cause the glue dispensing to be unsmooth or even blocked. Among the glue material properties, if the glue viscosity is high, the glue dispenser needle may be blocked. If the glue viscosity is low or there is a problem with the glue dispenser control, there may be glue tailing during the glue dispensing process, resulting in abnormal glue dispensing failures, affecting the final product glue dispensing quality. However, in the existing glue dispenser abnormal fault detection process, it is more inclined to the coating quality detection during the product gluing process. The glue blockage problem at the glue dispenser end is usually handled by manual supervision, and a set of automatic standardized abnormal fault monitoring and processing procedures has not been formed.

[0003] The Chinese patent with publication number CN112691846A provides a glue dispensing machine for mobile phone production that prevents clogging. In this patent, an elastic sheet is provided, and when glue accumulates inside the glue extrusion chamber, the clogged glue is pushed out by driving the spring sheet. However, this patent only uses structural improvement to deal with the clogged glue, but does not explain how to identify the clogged glue and whether it is an automatic glue treatment method. The Chinese patent with publication number CN114049035B provides an Internet-based automatic glue dispensing monitoring system and method. This patent screens the glue dispensing mechanism for faults by screening and analyzing the glue dispensing process in various aspects such as glue dispensing efficiency. However, the fault screening method in this patent is to monitor the overall process of the glue dispensing process and make fault judgments based on the amount of input and output materials, which is different from the glue dispensing abnormality screening described in the present invention.

[0004] Therefore, in view of the problems existing in the process of glue-hanging blockage of the existing glue dispensing machine, the present invention provides a method for detecting glue-hanging blockage of the glue dispensing machine. Summary of the invention

[0005] In response to the above-mentioned problems, the present invention provides a method for detecting glue blockage in a dispensing machine, which specifically includes obtaining the dispensing process parameters in the dispensing machine controller, monitoring dispensing abnormalities according to the changing state of the dispensing process parameters, and establishing a fault data monitoring list. At the same time, dispensing failures are predicted according to the dispensing process parameters in the fault data monitoring list, and potential dispensing failures are warned.

[0006] Preferably, the dispensing process parameters specifically include dispensing air pressure parameters, dispensing current parameters, dispensing flow parameters, dispensing time parameters and dispensing shape parameters that are fed back to the dispensing controller during the dispensing process.

[0007] Preferably, in the dispensing abnormality monitoring, a weighted characteristic index is established for each dispensing process parameter, the target fault parameter is defined by the weighted characteristic index, and a fault data monitoring list is generated.

[0008] Preferably, in the fault data monitoring list, a target fault assessment threshold is defined and set, and dispensing abnormality monitoring is performed according to the target fault assessment threshold.

[0009] Preferably, in the dispensing fault prediction, fault features are screened in the fault data monitoring list, and fault risk judgment is performed on fault features with higher importance based on an expert experience model.

[0010] Preferably, in the fault risk judgment of the expert experience model, the risk data obtained by the fault risk judgment is returned to the fault feature screening as data with lower importance for cyclic calculation.

[0011] Preferably, based on a cyclic calculation, an optimal glue dispensing failure risk parameter is obtained, a data deviation between the optimal glue dispensing failure risk parameter and the actual glue dispensing process parameter is calculated, and an early warning and maintenance decision for potential glue dispensing failure problems are made based on the data deviation.

[0012] Preferably, in the fault feature screening in the fault data monitoring list, the glue blocking problem is targeted by using the glue flow parameter, glue time parameter and glue shape parameter in the glue dispensing process parameters as evaluation factors, calculating the difference between the actual process parameters and the predicted process parameters under a single variable, and making a glue blocking judgment based on the difference.

[0013] Preferably, in the maintenance decision, a positive and negative pressure switching air pressure control rhythm is formulated within a dispensing cycle for the dispensing air pressure parameter in the working parameters.

[0014] Preferably, in the positive and negative pressure switching air pressure control rhythm, a glue retraction space is reserved in the glue dispensing needle hole, and negative pressure is generated in the glue retraction space to perform single glue dispensing cycle glue hanging blockage control.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] (1) The method for detecting glue blockage in a glue dispensing machine provided in the present invention can automatically monitor glue dispensing anomalies according to existing glue dispensing process parameters, and can also provide early warning of possible glue dispensing failures based on glue dispensing anomaly monitoring data. Compared with traditional manual maintenance methods, this method helps to improve the automation level of the glue dispensing machine and the real-time glue dispensing quality.

[0017] (2) On the basis of (1), in the dispensing abnormality monitoring described in the present invention, by establishing an evaluation method of weighted characteristic indicators, the influence of dispensing process parameters on dispensing abnormal failures is artificially limited, and specific abnormal failures are identified in a targeted manner according to the limited specified process parameter weight characteristics, thereby improving the recognition accuracy of dispensing machine abnormal failures.

[0018] (3) Based on (2), in the dispensing fault prediction described in the present invention, fault feature screening is performed according to the fault data monitoring list. On the basis of the fault feature screening, a fault risk assessment based on the expert experience model is additionally established. Through the method of cyclic calculation and evaluation, the quality of the predicted fault data is further enhanced.

[0019] (4) Based on (3), after performing fault risk assessment, the present invention calculates the data deviation between the optimal glue dispensing failure risk parameters and the actual glue dispensing process parameters, and based on the data deviation, it helps to provide a solution for subsequent abnormal fault maintenance decisions of the glue dispensing machine.

[0020] (5) On the basis of (4), the present invention also establishes an optimized processing flow for glue blockage of a glue dispensing machine, wherein a pressure control rhythm based on positive and negative pressure switching is established within the glue dispensing cycle to perform switching operations between instantaneous positive pressure and rated negative pressure during the glue dispensing process, thereby avoiding glue tailing within a single glue dispensing cycle control and glue residue in the pinhole space, which leads to blockage of the glue dispensing pinhole. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The present invention is a flow chart of a method for detecting glue blockage in a glue dispensing machine. DETAILED DESCRIPTION

[0022] Example

[0023] This embodiment provides a method for detecting glue blocking of a glue dispenser. Figure 1 As shown, specifically including:

[0024] S1. Obtain the dispensing process parameters in the dispensing machine controller, wherein the dispensing process parameters specifically include the dispensing air pressure parameters, dispensing current parameters, dispensing flow parameters, dispensing time parameters and dispensing shape parameters fed back to the dispensing controller during the dispensing process;

[0025] S2. Monitor dispensing abnormalities according to the dispensing process parameter change status and establish a fault data monitoring list;

[0026] In the dispensing abnormality monitoring, a weighted characteristic index is established for each dispensing process parameter, the target fault parameter is defined by the weighted characteristic index, and a fault data monitoring list is generated;

[0027] In the fault data monitoring list, a target fault assessment threshold is defined and set, and dispensing abnormality monitoring is performed according to the target fault assessment threshold;

[0028] In the fault feature screening in the fault data monitoring list, for the glue blocking problem, the glue flow parameter, glue time parameter and glue shape parameter in the glue dispensing process parameters are used as evaluation factors, and the difference between the actual process parameters and the predicted process parameters under a single variable is calculated, and the glue blocking is judged according to the difference;

[0029] Specifically, in the blockage judgment, the difference between the actual dispensing flow rate and the predicted dispensing flow rate can be judged by fixing the dispensing time parameters and the dispensing shape parameters, the difference between the actual dispensing time and the predicted dispensing time can be judged by fixing the dispensing flow parameters and the dispensing shape parameters, and the difference between the actual dispensing shape parameters and the predicted dispensing shape parameters can be judged by fixing the dispensing flow parameters and the dispensing time parameters, so as to judge whether the dispensing machine needle is blocked or partially blocked.

[0030] S3. Predict dispensing failures based on the dispensing process parameters in the fault data monitoring list and issue early warnings for potential dispensing failures.

[0031] In the dispensing fault prediction, fault features are screened in the fault data monitoring list, and fault risk judgment is performed on fault features with higher importance based on the expert experience model.

[0032] Among them, in the fault risk judgment of the expert experience model, the risk data obtained from the fault risk judgment is returned to the fault feature screening as data with lower importance for loop calculation; according to the loop calculation, the optimal glue failure risk parameter is obtained, and the data deviation between the optimal glue failure risk parameter and the actual glue dispensing process parameters is calculated, and the early warning and maintenance decision of potential glue dispensing failure problems are made according to the data deviation.

[0033] In one embodiment, in the maintenance decision, a positive and negative pressure switching air pressure control rhythm is formulated within a glue dispensing cycle for the glue dispensing air pressure parameter in the working parameter. In the positive and negative pressure switching air pressure control rhythm, a glue retraction space is reserved in the glue dispensing pinhole, and negative pressure is generated in the glue retraction space to perform single glue dispensing cycle glue blocking control.

[0034] Specifically, in the positive and negative pressure switching air pressure control rhythm, in a glue dispensing cycle control, a positive pressure curve is first established to control the glue spraying, and negative pressure switching is performed during the glue spraying process. The negative pressure controls the trailing glue and the residual glue to flow back to the designated position point, and a section of glue retraction space flows out of the needle to serve as the positive and negative pressure conversion space.

[0035] According to the technical solution of the present invention, the acquisition of dispensing process parameters and monitoring of dispensing abnormal values ​​are automatically performed during the dispensing control process. When a dispensing failure occurs in the dispensing machine, the dispensing machine can automatically detect abnormal failures of glue blocking without manual supervision, which helps to further improve the automated work efficiency of the dispensing machine. In addition, by setting a pressure control rhythm based on positive and negative pressure switching in the maintenance decision, it is helpful to control the glue tailing defect during the dispensing process. By controlling the positive and negative pressure switching, the glue retraction is controlled by negative pressure after the instantaneous dispensing is completed. While controlling the reflux of excess glue in the pinhole, the glue remaining in the pinhole is also recovered to avoid the formation of a new round of glue blocking problems after the residual glue in the pinhole solidifies.

Claims

1. A method for detecting glue blocking in a glue dispensing machine, characterized in that: Specifically, it includes obtaining the dispensing process parameters in the dispensing machine controller, monitoring dispensing anomalies according to the change status of the dispensing process parameters, and establishing a fault data monitoring list. At the same time, dispensing failures are predicted according to the dispensing process parameters in the fault data monitoring list to provide early warning for potential dispensing failure problems.

2. The method for detecting glue blocking of a glue dispensing machine according to claim 1, characterized in that: The dispensing process parameters specifically include dispensing air pressure parameters, dispensing current parameters, dispensing flow parameters, dispensing time parameters and dispensing shape parameters that are fed back to the dispensing controller during the dispensing process.

3. The method for detecting glue blocking of a glue dispensing machine according to claim 1, characterized in that: In the dispensing abnormality monitoring, a weighted characteristic index is established for each dispensing process parameter, the target fault parameter is defined by the weighted characteristic index, and a fault data monitoring list is generated.

4. The method for detecting glue blocking of a glue dispensing machine according to claim 3, characterized in that: In the fault data monitoring list, a target fault assessment threshold is defined and set, and dispensing abnormality monitoring is performed according to the target fault assessment threshold.

5. The method for detecting glue blocking of a glue dispensing machine according to claim 1, characterized in that: In the dispensing fault prediction, fault features are screened in the fault data monitoring list, and fault risk judgment is performed on fault features with higher importance based on the expert experience model.

6. The method for detecting glue blocking of a glue dispenser according to claim 5, characterized in that: In the fault risk judgment of the expert experience model, the risk data obtained by the fault risk judgment is returned to the fault feature screening as data with lower importance for cyclic calculation.

7. The method for detecting glue blocking of a glue dispensing machine according to claim 6, characterized in that: According to the cyclic calculation, the optimal dispensing failure risk parameter is obtained, the data deviation between the optimal dispensing failure risk parameter and the actual dispensing process parameter is calculated, and the early warning and maintenance decision of the potential dispensing failure problem are made according to the data deviation.

8. The method for detecting glue blocking of a glue dispensing machine according to claim 5, characterized in that: In the fault feature screening in the fault data monitoring list, for the glue clogging problem, the glue flow parameter, glue time parameter and glue shape parameter in the glue dispensing process parameters are used as evaluation factors, and the difference between the actual process parameters and the predicted process parameters under a single variable is calculated, and the glue clogging is judged based on the difference.

9. The method for detecting glue blocking of a glue dispensing machine according to claim 8, characterized in that: In the maintenance decision, a positive and negative pressure switching air pressure control rhythm is formulated within a dispensing cycle according to the dispensing air pressure parameter in the working parameters.

10. The method for detecting glue blocking of a glue dispensing machine according to claim 9, characterized in that: In the positive and negative pressure switching air pressure control rhythm, a glue retraction space is reserved in the glue dispensing needle hole, and negative pressure is generated in the glue retraction space to perform single glue dispensing cycle glue hanging blockage control.

Images