Dispensing glue amount prediction method and dispensing system
By installing a pressure sensor in the dispensing machine and using the upper machine to perform integral calculations, the problem that the amount of dispensing glue cannot be measured in real time in the dotted white glue process is solved, and the accurate prediction of the amount of dispensing glue and the durability of the sensor are achieved.
Patent Information
- Application Number
- CN202311211604.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-19
- Publication Date
- 2025-03-21
AI Technical Summary
The existing liquid flow sensors cannot accurately measure the real-time glue amount in the dispensing process in the white glue dot process, mainly due to the high viscosity, high filler ratio and easy curing material characteristics of the white glue, as well as the short time, fast glue output and short intervals in the dispensing process.
The pressure sensor detects the glue pressure value in the connecting pipe of the dispenser, and uses the upper computer to predict the dispenser's dispenser based on the correction coefficient and the integral value in the integral interval. This method is based on the principle of fluid mechanics and calculates the glue amount by integrating glue pressure value, solving the problem that traditional sensors cannot measure in real time.
It realizes accurate prediction of the real-time dispensing amount in the dispensing process, overcomes the defect that traditional sensors cannot effectively measure high viscosity materials, and ensures the durability and reliability of the sensor.
Smart Images

Figure CN119657431A_ABST
Abstract
Description
Background Art
[0002] For the "smart factory", real-time "KPOV sensing" has become an important part of industrial technology. For the field of dispensing technology, KPOV (Key Process Output Variable) is the real-time glue quantity dispensed by the dispensing machine. However, in the most widely used white glue dispensing process, due to the high viscosity, high filler ratio and easy curing of white glue, as well as the very short dispensing time, fast dispensing and short time interval between each dispensing in the dispensing process, the existing liquid flow sensor cannot accurately measure the glue quantity in the dispensing process, that is, there is no reliable glue quantity measurement method to determine the real-time glue quantity dispensed in the dispensing process.
[0003] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention
[0004] The present disclosure provides a method for predicting the amount of glue dispensed and a glue dispensing system, which at least to a certain extent overcomes the problem in the related art that the real-time glue dispensed amount in the glue dispensing process cannot be determined.
[0005] Other features and advantages of the present disclosure will become apparent from the following detailed description, or may be learned in part by the practice of the present disclosure.
[0006] According to a first aspect of the present disclosure, a method for predicting the amount of glue dispensed is provided, comprising:
[0007] Determine the testing period;
[0008] The pressure sensor detects the glue pressure value in the connecting pipe of the glue dispensing machine within the detection period;
[0009] According to the detection period, selecting an integration interval;
[0010] determining a correction factor;
[0011] The host computer predicts the glue dispensing amount of the glue dispensing machine according to the correction coefficient and the integral value of the relevant quantity of the glue pressure value in the connecting pipe within the integral interval.
[0012] In some embodiments of the present disclosure, the detection period is the period from the moment the communication with the host computer is triggered to the moment when the glue dispensing machine finishes discharging glue.
[0013] In some embodiments of the present disclosure, the integration interval is a period from the moment when the host computer communication is triggered to the moment when the host computer communication ends.
[0014] In some embodiments of the present disclosure, the integration interval is a period from the moment when the piston in the valve of the dispensing machine is fully opened to the moment when the piston in the valve is fully closed.
[0015] In some embodiments of the present disclosure, the integration interval is a period from the moment when the glue dispensing machine starts to discharge glue to the moment when the piston in the valve is completely closed.
[0016] In some embodiments of the present disclosure, the glue dispensing amount of the glue dispensing machine predicted by the host computer satisfies the following mathematical expression:
[0017]
[0018] Wherein, m represents the glue dispensing amount of the glue dispensing machine predicted by the host computer;
[0019] P1 represents the rubber pressure value in the connecting pipe;
[0020] k represents the correction coefficient;
[0021] t1 and t2 represent the start and end times of the integration interval.
[0022] According to a second aspect of the present disclosure, a dispensing system is also provided, comprising:
[0023] The dispensing machine includes a dispensing valve, a connecting pipe and a rubber hose, and the dispensing valve includes a piston;
[0024] A pressure sensor, used to detect the glue pressure value in the connecting pipe within a determined detection period; and
[0025] The host computer is used to select an integral interval according to the determined detection period, and predict the glue dispensing amount of the glue dispensing machine according to the correction coefficient and the integral value of the related quantity of the glue pressure value in the connecting pipe within the integral interval.
[0026] In some embodiments of the present disclosure, the connecting tube includes a first end, a second end, and a third end, and is used for the colloid to flow from the rubber tube to the dispensing valve.
[0027] In some embodiments of the present disclosure, the first end is connected to the dispensing valve, the second end is connected to the hose, and the third end is connected to the pressure sensor.
[0028] In particular, the pressure sensor is chemically resistant.
[0029] In some embodiments of the present disclosure, the detection period is the period from the moment the communication with the host computer is triggered to the moment when the glue dispensing machine finishes discharging glue.
[0030] In some embodiments of the present disclosure, the integration interval is a period from the moment when the host computer communication is triggered to the moment when the host computer communication ends.
[0031] In some embodiments of the present disclosure, the integration interval is a period from the moment when the piston in the valve of the dispensing machine is fully opened to the moment when the piston in the valve is fully closed.
[0032] In some embodiments of the present disclosure, the integration interval is a period from the moment when the glue dispensing machine starts to discharge glue to the moment when the piston in the valve is completely closed.
[0033] In some embodiments of the present disclosure, the glue dispensing amount of the glue dispensing machine predicted by the host computer satisfies the following mathematical expression:
[0034]
[0035] Wherein, m represents the glue dispensing amount of the glue dispensing machine predicted by the host computer;
[0036] P1 represents the rubber pressure value in the connecting pipe;
[0037] k represents the correction coefficient;
[0038] t1 and t2 represent the start and end times of the integration interval.
[0039] The method for predicting the amount of glue dispensed provided in the embodiment of the present disclosure uses a pressure sensor to detect the glue pressure value in the connecting pipe of the glue dispenser within the detection period, and uses a host computer to predict the amount of glue dispensed by the glue dispenser according to the correction coefficient and the integral value of the related amount of the glue pressure value in the connecting pipe within the integral interval. Based on the integration of the glue pressure value in the connecting pipe of the glue dispenser, the predicted value of the glue dispensed amount of the glue dispenser is calculated, so that the real-time glue dispensed amount in the glue dispensing process can be determined.
[0040] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification are used to explain the principles of the present disclosure. Obviously, the accompanying drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without creative work.
[0042] Figure 1 A schematic diagram of a method for predicting the amount of glue dispensed is shown in an embodiment of the present disclosure;
[0043] Figure 2A curve diagram showing the pressure value detected by the pressure sensor over time during the entire process of one dispensing operation in a specific embodiment of the present disclosure;
[0044] Figure 3 A simplified structural schematic diagram of a dispensing system in an embodiment of the present disclosure is shown;
[0045] Figure 4 A simplified structural schematic diagram of a dispensing system in some embodiments of the present disclosure is shown;
[0046] Figure 5 A schematic diagram showing a curve of colloid pressure variation over time of a specific example in the present disclosure;
[0047] Figure 6 A schematic diagram showing the integral interval distribution of a specific example in the present disclosure; and
[0048] Figure 7 A schematic diagram showing the fitting relationship of a specific example in the present disclosure. DETAILED DESCRIPTION
[0049] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the disclosure will be more comprehensive and complete and to fully convey the concepts of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
[0050] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.
[0051] The specific implementation of the embodiment of the present disclosure is described in detail below with reference to the accompanying drawings.
[0052] The inventors found that in the process of dispensing white glue, the material properties of white glue include: high viscosity (paste-like, extremely high viscosity, a million times the viscosity of coating glue), high filler ratio (particle diameter is about 50 microns, in direct contact with the core components of the sensor, easy to clog and wear), and easy to solidify (white glue is easy to solidify when exposed to moisture, directly clogging and damaging the core components of the sensor, making the sensor scrapped). In addition, the process operation characteristics include: short time (a single dispensing operation time is only 0.1 seconds to 0.3 seconds), fast glue discharge (fast glue discharge speed, which may be as high as 5g / s in an instant), and short interval (many dispensing locations, and extremely short time intervals). The material properties and process operation characteristics of white glue make it very difficult to use a liquid flow sensor to directly measure the real-time glue discharge amount, and it is difficult to directly measure the real-time glue dispensing amount.
[0053] In order to measure the amount of high-viscosity glue in real time and ensure that the sensor is not damaged during measurement, the inventor proposed to start from the perspective of fluid mechanics, that is, when the fluid flows in a variable-diameter pipe with a certain structure, according to the Bernoulli equation, there is a certain functional relationship between the pressure difference and the flow rate, and the flow value can be calculated accordingly. That is, instead of directly measuring the fluid flow rate, the amount of glue dispensed is calculated by measuring the pressure in the flow channel, that is, the connecting pipe of the glue dispenser.
[0054] In view of the above findings, the present disclosure provides a method for predicting the amount of glue dispensed, such as Figure 1 As shown, the following steps are included:
[0055] S102, determining a detection period;
[0056] It should be noted that a dispensing process in an actual production line usually has multiple dispensings, and the amount of glue dispensed predicted by the present invention can be the amount of glue dispensed for one dispensing. The detection period is the period from the moment when the host computer communication is triggered to the moment when the dispensing machine finishes dispensing. Among them, the host computer communication triggering moment refers to the moment when the host computer electrically controls the dispensing machine after receiving the dispensing command, establishes communication with the PLC (Programmable Logic Controller), and transmits the dispensing start instruction. The PLC controls the dispensing machine to start working based on the received dispensing start instruction, and converts the electrical control into mechanical braking. The moment when the dispensing machine finishes dispensing means the end of one dispensing. It can be understood by those skilled in the art that the period from the moment when the host computer communication is triggered to the moment when the dispensing machine finishes dispensing is the entire process of one dispensing, and the detection period can include the entire process of one dispensing, and can also include the entire process of multiple dispensing, which is not limited in the embodiments of the present disclosure.
[0057] S104, the pressure sensor detects the glue pressure value in the connecting pipe of the glue dispensing machine during the detection period;
[0058] S106, selecting an integration interval according to the detection period;
[0059] It should be noted that different integral intervals can be selected in the detection period, such as the period from the host computer communication triggering time to the host computer communication ending time, the period from the time when the piston in the valve is fully opened to the time when the piston in the valve is fully closed, or the period from the time when the dispensing machine starts to dispense glue to the time when the piston in the valve is fully closed. Different integral intervals can be selected according to actual needs, such as the error accuracy of the predicted dispensing glue amount.
[0060] It should be noted that the integral interval can be one or more. If the detection period includes the entire process of one dispensing, the integral interval selects one of the time period from the moment the position computer communication is triggered to the moment the upper computer communication ends, the time period from the moment the piston in the valve is fully opened to the moment the piston in the valve is fully closed, or the time period from the moment the dispensing machine starts to discharge glue to the moment the piston in the valve is fully closed. If the detection period includes the entire process of multiple dispensing, then for the entire process of one dispensing, it is necessary to select an integral interval. If there are several dispensing times, select several integral intervals to complete the glue amount prediction for multiple dispensing.
[0061] S108, determining a correction coefficient;
[0062] S110, the upper computer predicts the glue dispensing amount of the glue dispensing machine according to the correction coefficient and the integral value of the related quantity of the glue pressure value in the connecting pipe within the integral interval.
[0063] It should be noted that the glue dispensing amount predicted by the host computer satisfies the following mathematical expression:
[0064]
[0065] Among them, m represents the glue dispensing amount of the glue dispensing machine predicted by the host computer, g;
[0066] P1 represents the rubber pressure value in the connecting pipe, MPa;
[0067] k represents the correction coefficient;
[0068] t1 and t2 represent the start and end time of the integration interval, in ms.
[0069] It can be seen from the above steps that the method for predicting the amount of glue dispensed provided in the embodiment of the present disclosure uses a pressure sensor to detect the glue pressure value in the connecting pipe of the glue dispenser during the detection period, and uses the upper computer to predict the amount of glue dispensed by the glue dispenser according to the correction coefficient and the integral value of the related quantity of the glue pressure value in the connecting pipe within the integral interval. Based on the integration of the glue pressure value in the connecting pipe of the glue dispenser, the predicted value of the glue dispensed amount of the glue dispenser is calculated, so that the real-time glue dispensed amount during the glue dispensing process can be determined.
[0070] It should be noted that the pressure sensor detects the glue pressure value in the connecting pipe of the glue dispensing machine, and the pressure at the glue outlet of the glue dispensing machine is 0, so the pressure difference between the inside and outside of the glue dispensing machine is the detection value of the pressure sensor. Therefore, based on the detection value of the pressure sensor, the flow rate of the glue outlet can be calculated using fluid mechanics, and combined with the cross-sectional area of the glue outlet, the flow rate of the glue flowing through the glue outlet can be determined. The flow rate multiplied by the unit time can be obtained to obtain the flow rate of the glue flowing through the glue outlet per unit time. Integrating this flow rate at different time periods can determine the amount of glue in this period, that is, the amount of glue dispensed during this period.
[0071] Based on the continuity equation, the relationship between flow rate and velocity can be obtained as:
[0072]
[0073] Wherein, V1 represents the flow velocity at the flow channel inlet, g / s; V2 represents the flow velocity at the flow channel outlet, g / s;
[0074] A1 is the cross-sectional area of the flow channel inlet, m 2 ; A2 represents the cross-sectional area of the flow channel outlet, m 2
[0075] k1 represents the area correction factor of the flow channel inlet; k2 represents the area correction factor of the flow channel outlet.
[0076] Based on the Bernoulli equation: Transform formula (2) into:
[0077]
[0078] Among them, P1 represents the rubber pressure value in the connecting pipe, MPa; P2 represents the pressure at the rubber outlet, which is 0MPa;
[0079] k0 represents the correction factor of the rubber material properties.
[0080] Formula (3) represents the flow rate of the glue outlet. Combined with the cross-sectional area of the glue outlet and multiplied by the unit time, the flow rate m0 of the glue flowing through the glue outlet per unit time can be determined as:
[0081] m0=V2×A2dt (4)
[0082] Substituting formula (3) into formula (4), and since some parameters have little effect on m0, simplifying and integrating it, we get formula (1).
[0083] like Figure 2The figure shows that the pressure values detected by the pressure sensor at different times corresponding to the entire process of one dispensing in a specific embodiment are recorded and plotted as a curve chart of the pressure value changing with time. If you want to determine the amount of glue dispensed in a certain period of time during the entire process of one dispensing, you can directly take the square root of the pressure value in a certain period of time, integrate it and multiply it by the corresponding correction coefficient to determine it. For the amount of glue dispensed in the entire process of one dispensing, there are many options for the integration interval. Figure 2 As shown in the figure, the entire process of one dispensing starts from the moment of the host computer communication triggering and ends at the moment when the dispensing machine finishes dispensing. Since the host computer converts electrical control into mechanical braking when controlling the dispensing machine, there is a hysteresis. Therefore, the actual dispensing moment will come after a short period of time consisting of the delay of the control signal conversion and the movement of the piston in the dispensing machine after the host computer communication triggering moment, and the actual dispensing moment will come after a short period of time consisting of the delay of the control signal conversion and the movement process of the piston closing in the dispensing machine after the host computer communication ends triggering moment. It takes a certain amount of time for the piston to open, that is, it is a period of time after the actual dispensing moment that the piston is fully opened, and a certain moment between the host computer communication end triggering moment and the actual dispensing moment is the moment when the piston is fully closed.
[0084] In some embodiments of the present disclosure, the integral interval is the period from the host computer communication triggering moment to the host computer communication ending moment. That is, when determining the dispensing amount in the entire process of one dispensing, the integral interval can be selected as the period from the host computer communication triggering moment to the host computer communication ending moment.
[0085] Due to the lag in communication and the lag in piston movement compared to instructions, in order to obtain a more accurate predicted amount of glue being dispensed, in some embodiments of the present disclosure, the integration interval is the period from the moment the piston in the valve of the dispensing machine is fully opened to the moment the piston in the valve is fully closed, which can more accurately characterize the dispensing period in the dispensing process.
[0086] Furthermore, the inventors found that it is difficult to determine the moment when the piston in the valve of the dispensing machine is fully opened, while the actual dispensing moment, that is, the moment when the dispensing machine starts dispensing, is easier to determine. After multiple comparison tests, it was found that the integral interval starts from the moment when the dispensing machine starts dispensing and ends when the piston in the valve is fully closed. The determined amount of dispensing glue is not much different from the amount of dispensing glue determined when the integral interval is from the moment when the piston in the valve of the dispensing machine is fully opened to the moment when the piston in the valve is fully closed. Therefore, on the basis of ensuring the accuracy of the prediction of the amount of dispensing glue, in order to be able to determine the predicted value of the amount of dispensing glue more quickly and simply, in some embodiments of the present disclosure, the integral interval is the period from the moment when the dispensing machine starts dispensing glue to the moment when the piston in the valve is fully closed.
[0087] It should be noted that the above-mentioned host computer communication triggering time and host computer communication ending time can be determined according to the time when the host computer's command is issued. The time when the dispensing machine starts dispensing glue, the time when the piston in the valve of the dispensing machine is fully opened, and the time when the piston in the valve is fully closed can be determined by shooting the actual dispensing process of the dispensing machine using high-speed photography and other equipment. For example, a probe can be bonded to the piston in the valve of the dispensing machine, and the motion trajectory of the probe can be analyzed in the captured image to determine the physical motion path of the piston, thereby determining the time when the piston in the valve of the dispensing machine is fully opened and the time when the piston in the valve is fully closed. And observe the glue discharge from the glue outlet in the captured image to determine the time when the dispensing machine starts dispensing glue.
[0088] If the image acquisition device is used every time to determine the time when the above-mentioned glue dispenser starts to dispense glue, the time when the piston in the valve of the glue dispenser is fully opened, and the time when the piston in the valve is fully closed, it will be very time-consuming and the operation steps will be complicated. Further, in order to determine the predicted value of the amount of glue dispensed more quickly, the curve of the glue pressure value changing with time can be analyzed and determined. Specifically, as the piston starts to move, the piston is displaced instantly, which will cause the space in the valve of the glue dispenser to become larger, and the colloid pressure will instantly decrease until the glue dispenser starts to dispense glue, the colloid begins to flow, and the glue pressure value begins to increase due to the water hammer effect. When the piston in the valve of the glue dispenser is fully opened, the colloid flows into a steady state, and the pressure will drop and tend to stabilize. Until the upper computer command is received to start closing the piston, because the piston starts to close, the piston brings a reverse force to the glue flow, causing the glue pressure in the pipeline to decrease and the glue flow rate to slow down. The glue pressure drops until the piston in the valve is fully closed, the colloid no longer flows, and the glue pressure in the pipeline begins to recover, that is, the colloid pressure begins to rise. With this discovery, in some embodiments of the present disclosure, the time when glue starts to be discharged and the time when the piston in the valve is completely closed can be determined by finding the minimum point of the curve of the glue pressure value changing with time, wherein the point with a smaller corresponding time value is the time when glue starts to be discharged, and the point with a larger corresponding time value is the time when the piston in the valve is completely closed. In order to avoid extreme point errors caused by data point errors or curve errors, when making specific judgments, the glue dispensing process and the glue dispensing process time can be combined to determine whether the minimum point is the time when glue starts to be discharged or the time when the piston in the valve is completely closed, so as to avoid errors in time determination.
[0089] It should be noted that the above correction coefficient can be determined by using the integral value of the curve of the actual glue output and the pressure value over time. Through multiple tests, the curve of the pressure value measured by the pressure sensor over time is recorded, and the glue output of the glue dispenser each time is weighed and recorded as the actual glue dispensing amount. Let the independent variable be The dependent variable is the actual amount of glue dispensed. By fitting, we can get the relationship between the actual amount of glue dispensed and The functional relationship between them is:
[0090]
[0091] Among them, m 实际 Indicates the actual amount of glue dispensed, g;
[0092] K represents the linear fitting coefficient.
[0093] The value of K can be determined by fitting, and the value of K is used as the value of the correction coefficient k.
[0094] Based on the same inventive concept, the present disclosure also provides a dispensing system, as described in the following embodiments. Since the principle of solving the problem in the dispensing system embodiment is similar to that in the above method embodiment, the implementation of the dispensing system embodiment can refer to the implementation of the above method embodiment, and the repeated parts will not be repeated.
[0095] Figure 3 A simplified structural diagram of a dispensing system in an embodiment of the present disclosure is shown in FIG. Figure 3 As shown, including:
[0096] The glue dispensing machine 301 includes a glue dispensing valve 311, a connecting pipe 312 and a rubber hose 313, and the glue dispensing valve 311 includes a piston 3111;
[0097] The pressure sensor 302 is used to detect the glue pressure value in the connecting pipe 312 within a certain detection period; and
[0098] The host computer 303 is used to select an integral interval according to the determined detection period, and predict the glue dispensing amount of the glue dispensing machine according to the correction coefficient and the integral value of the related quantity of the glue pressure value in the connecting pipe 312 within the integral interval.
[0099] It should be noted that the host computer 303 is also used to be electrically connected to the glue dispenser 301 to transmit a control signal to the glue dispenser 301 to control the glue dispenser 301 to dispense glue or end the glue dispensing. In specific implementation, the host computer 303 sends a glue dispensing instruction to the PLC. After receiving the instruction, the PLC controls the glue dispensing valve 311 to move the piston 3111 to discharge glue. The pressure sensor 302 detects the glue pressure at the same time, and can send the measured glue pressure value data to the AD data processor to realize analog-to-digital conversion. Then the PLC processes the digital value of the glue pressure value and sends it to the host computer 303 for processing. The measured glue pressure value data can also be directly sent to the host computer 303 for processing.
[0100] The pressure sensor 302 can detect the colloid pressure value at any point in the connecting pipe 312, that is, the pressure sensor 302 can be installed at any position of the connecting pipe 312. However, in order to reduce the possibility of corrosion or blockage of the pressure sensor 302, the connecting pipe 312 can be set as a three-way pipe, and the pressure sensor 302 is connected to one end of the three-way pipe, which can detect the pressure value and reduce the contact with the colloid to avoid corrosion or blockage. Figure 4 As shown, the connecting tube 312 includes a first end 401, a second end 402 and a third end 403, and is used for the colloid to flow from the rubber tube 313 to the dispensing valve 311. The first end 401 is connected to the dispensing valve 311, the second end 402 is connected to the rubber tube 313, so that the colloid flows from the rubber tube 313 to the dispensing valve 311, and the third end 403 is connected to the pressure sensor 302, so that the pressure sensor 302 detects the glue pressure value in the connecting tube 312.
[0101] Furthermore, in order to ensure that the pressure sensor can work normally for a long time, in some embodiments of the present disclosure, the pressure sensor 302 has chemical resistance. For example, a ceramic diaphragm alumina pressure sensor with high chemical resistance and high hardness can be selected.
[0102] Since the dispensing process is fast, the pressure value needs to be detected at short intervals. In some embodiments of the present disclosure, the response time of the pressure sensor 302 needs to be less than a preset threshold, for example, less than 5ms. The response time of the pressure sensor 302 can be set to 2ms, that is, the pressure sensor 302 detects the pressure value in the connecting tube 312 every 2ms.
[0103] In some embodiments of the present disclosure, the detection period is the period from the moment the communication with the host computer is triggered to the moment when the glue dispensing machine finishes discharging glue.
[0104] In some embodiments of the present disclosure, the integration interval is a period from the time when the host computer communication is triggered to the time when the host computer communication ends.
[0105] In some embodiments of the present disclosure, the integral interval is a period from the moment when the piston in the valve of the dispensing machine is fully opened to the moment when the piston in the valve is fully closed.
[0106] In some embodiments of the present disclosure, the integral interval is the period from the moment the dispensing machine starts dispensing glue to the moment the piston in the valve is completely closed.
[0107] In some embodiments of the present disclosure, the glue dispensing amount of the glue dispensing machine predicted by the host computer satisfies the following mathematical expression:
[0108]
[0109] Wherein, m represents the glue dispensing amount of the glue dispensing machine predicted by the host computer, g;
[0110] P1 represents the rubber pressure value in the connecting pipe, MPa;
[0111] k represents the correction coefficient;
[0112] t1 and t2 represent the start and end time of the integration interval, in ms.
[0113] In order to better illustrate the dispensing system and the method for predicting the amount of dispensing glue provided by the embodiment of the present disclosure, a specific example is now given for further explanation. Figure 4 The dispensing system shown in the figure weighs the glue after each dispensing and records it as the actual dispensing amount.
[0114] Take a complete dispensing process of 450ms as an example for analysis. Figure 5 The figure shows the change curve of glue pressure (pressure value measured by pressure sensor) with time in the process, wherein the light comes on to indicate the communication triggering moment of the upper computer. After a delay time of 80-90ms, the piston starts to open; at 90-100ms, glue starts to be discharged; at 120-130ms, the piston is fully opened; at 250-255ms, the light goes out, indicating the end of communication with the upper computer; at 310-320ms, the piston starts to close; at 330-340ms, the discharged glue becomes thinner; at 350-360ms, the piston is fully closed.
[0115] The integral interval of this specific example is the period from the moment when the dispensing machine starts dispensing glue to the moment when the piston in the valve is completely closed. Figure 6 shown.
[0116] And perform multiple dispensing, and use the data recorded by multiple dispensing to fit the straight line of formula (5) as shown in Figure 7 As shown, the x in the figure represents y represents m 实际 It can be seen that the correction coefficient k is 0.0031, and the index of trend line fitting degree R is calculated. 2 It is 0.9821, which is very close to 1, which means that the fitted curve of the predicted value of the glue dispensing amount is very close to the actual glue dispensing amount, and the error is relatively small.
[0117] As shown in Table 1, this is a comparison of the predicted values and actual values obtained by multiple tests according to the glue dispensing amount prediction method provided in the embodiment of the present disclosure, as well as the calculated error rate. It can be seen that the absolute value of the error rate does not exceed 5%, proving that the glue dispensing amount prediction value calculated by this specific example is relatively accurate.
[0118] Table 1
[0119]
[0120]
[0121] It can be seen from the above specific examples that the dispensing system and dispensing glue amount prediction method provided by the embodiments of the present disclosure can not only determine the real-time dispensing glue amount in the dispensing process, but also the determined dispensing glue amount is relatively accurate.
[0122] It will be appreciated by those skilled in the art that various aspects of the present disclosure may be implemented as a system, method or program product. Therefore, various aspects of the present disclosure may be specifically implemented as the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software, which may be collectively referred to as a "circuit", "module" or "system" herein. It should be noted that, although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to an embodiment of the present disclosure, the features and functions of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided into being embodied by multiple modules or units.
[0123] In addition, although the steps of the method in the present disclosure are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps, etc.
[0124] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the implementation of the present disclosure.
[0125] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. The present disclosure is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the appended claims.
Claims
1. A method for predicting the amount of glue dispensed, characterized in that: include: Determine the testing period; The pressure sensor detects the glue pressure value in the connecting pipe of the glue dispensing machine within the detection period; According to the detection period, selecting an integration interval; determining a correction factor; The host computer predicts the glue dispensing amount of the glue dispensing machine according to the correction coefficient and the integral value of the relevant quantity of the glue pressure value in the connecting pipe within the integral interval.
2. The method for predicting the amount of glue dispensed according to claim 1, characterized in that: The detection period is the period from the moment the host computer communication is triggered to the moment the glue dispensing machine finishes dispensing glue.
3. The method for predicting the amount of glue dispensed according to claim 1, characterized in that: The integration interval is the period from the moment the host computer communication is triggered to the moment the host computer communication ends.
4. The method for predicting the amount of glue dispensed according to claim 1, characterized in that: The integral interval is the period from the moment when the piston in the valve of the dispensing machine is fully opened to the moment when the piston in the valve is fully closed.
5. The method for predicting the amount of glue dispensed according to claim 1, characterized in that: The integral interval is the period from the moment when the glue dispensing machine starts to dispense glue to the moment when the piston in the valve is completely closed.
6. The method for predicting the amount of glue dispensed according to claim 1, characterized in that: The glue dispensing amount of the glue dispenser predicted by the host computer satisfies the following mathematical expression: Wherein, m represents the glue dispensing amount of the glue dispensing machine predicted by the host computer; P1 represents the rubber pressure value in the connecting pipe; k represents the correction coefficient; t1 and t2 represent the start and end times of the integration interval.
7. A dispensing system, characterized in that: include: The dispensing machine includes a dispensing valve, a connecting pipe and a rubber hose, and the dispensing valve includes a piston; A pressure sensor, used for detecting the rubber pressure value in the connecting pipe within a determined detection period; as well as The host computer is used to select an integral interval according to the determined detection period, and predict the glue dispensing amount of the glue dispensing machine according to the correction coefficient and the integral value of the related quantity of the glue pressure value in the connecting pipe within the integral interval.
8. The dispensing system according to claim 7, characterized in that: The connecting pipe comprises a first end, a second end and a third end, and is used for the colloid to flow from the rubber pipe to the dispensing valve.
9. The dispensing system according to claim 8, characterized in that: The first end is connected to the dispensing valve, the second end is connected to the hose, and the third end is connected to the pressure sensor.
10. The dispensing system according to claim 7, characterized in that: The pressure sensor is chemically resistant.
11. The dispensing system according to claim 7, characterized in that: The detection period is the period from the moment the host computer communication is triggered to the moment the glue dispensing machine finishes dispensing glue.
12. The dispensing system according to claim 7, characterized in that: The integration interval is the period from the host computer communication triggering moment to the host computer communication ending moment.
13. The dispensing system according to claim 7, characterized in that: The integral interval is the period from the moment when the piston in the valve of the dispensing machine is fully opened to the moment when the piston in the valve is fully closed.
14. The dispensing system according to claim 7, characterized in that: The integral interval is the period from the moment when the glue dispensing machine starts to dispense glue to the moment when the piston in the valve is completely closed.
15. The dispensing system according to claim 7, characterized in that: The glue dispensing amount of the glue dispenser predicted by the host computer satisfies the following mathematical expression: Wherein, m represents the glue dispensing amount of the glue dispensing machine predicted by the host computer; P1 represents the rubber pressure value in the connecting pipe; k represents the correction coefficient; t1 and t2 represent the start and end times of the integration interval.