CN117094137B - Self-adaptive speed adjusting method for gluing based on speed detection system - Google Patents
Self-adaptive speed adjusting method for gluing based on speed detection system Download PDFInfo
- Publication number
- CN117094137B CN117094137B CN202310983996.1A CN202310983996A CN117094137B CN 117094137 B CN117094137 B CN 117094137B CN 202310983996 A CN202310983996 A CN 202310983996A CN 117094137 B CN117094137 B CN 117094137B
- Authority
- CN
- China
- Prior art keywords
- data
- real
- speed
- gluing
- preprocessing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004026 adhesive bonding Methods 0.000 title claims abstract description 84
- 238000001514 detection method Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000007781 pre-processing Methods 0.000 claims abstract description 87
- 238000005457 optimization Methods 0.000 claims abstract description 55
- 238000004458 analytical method Methods 0.000 claims abstract description 49
- 238000011897 real-time detection Methods 0.000 claims description 58
- 238000007405 data analysis Methods 0.000 claims description 14
- 238000005516 engineering process Methods 0.000 claims description 5
- 239000000463 material Substances 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 6
- 230000008569 process Effects 0.000 abstract description 5
- 239000003292 glue Substances 0.000 description 18
- 239000011248 coating agent Substances 0.000 description 12
- 238000000576 coating method Methods 0.000 description 12
- 230000006872 improvement Effects 0.000 description 6
- 238000004519 manufacturing process Methods 0.000 description 5
- 230000005540 biological transmission Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B05—SPRAYING OR ATOMISING IN GENERAL; APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C—APPARATUS FOR APPLYING FLUENT MATERIALS TO SURFACES, IN GENERAL
- B05C11/00—Component parts, details or accessories not specifically provided for in groups B05C1/00 - B05C9/00
- B05C11/10—Storage, supply or control of liquid or other fluent material; Recovery of excess liquid or other fluent material
- B05C11/1002—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves
- B05C11/1015—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves responsive to a conditions of ambient medium or target, e.g. humidity, temperature ; responsive to position or movement of the coating head relative to the target
- B05C11/1023—Means for controlling supply, i.e. flow or pressure, of liquid or other fluent material to the applying apparatus, e.g. valves responsive to a conditions of ambient medium or target, e.g. humidity, temperature ; responsive to position or movement of the coating head relative to the target responsive to velocity of target, e.g. to web advancement rate
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Geometry (AREA)
- Computer Hardware Design (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- General Factory Administration (AREA)
- Feedback Control In General (AREA)
Abstract
The invention relates to the technical field of speed regulation, in particular to a self-adaptive speed regulation method for gluing based on a speed detection system. Which comprises the following method steps: detecting data in real time and performing preprocessing operation; receiving and analyzing the data after the preprocessing operation, and performing an automatic adjusting function according to the preprocessed operation data after the analysis; and receiving the data after the pretreatment operation, the data after the analysis and the data after the automatic adjustment, carrying out the optimization adjustment, carrying out the automatic adjustment again according to the data after the optimization adjustment, and carrying out the analysis again on the data after the automatic adjustment again. According to the invention, the automatic adjusting unit performs an automatic adjusting function again according to the optimized and adjusted data, and continuously adjusts the gluing speed and the workpiece running speed to achieve the optimal effect of gluing quality, so that the stability and consistency of a gluing process are ensured.
Description
Technical Field
The invention relates to the technical field of speed regulation, in particular to a self-adaptive speed regulation method for gluing based on a speed detection system.
Background
In the current market, workpiece products are common in our real life, such as plastic toys, the plastic toys are important in the current market status, because the market demand is more, many manufacturers can mass produce plastic toys, the problem of glue coating caused by mismatching of glue coating speed and workpiece running speed in the production process not only causes the problem of glue coating quality, but also causes that a large number of workpiece products are not up to standard, thus the waste rate of the products is improved, so that the manufacturers strictly control the glue coating speed and the workpiece running speed by using a large amount of human resources, the glue coating quality is improved in such a way, the waste condition is reduced, but a large amount of human resources are required, even if the glue coating speed and the workpiece running speed are controlled in such a way, the yield is improved, but potential problems still exist, such as uneven glue coating thickness, bubbles and wrinkling, and the failure of the products exist, and then we propose a self-adaptive speed adjusting method for glue coating based on a speed detection system.
Disclosure of Invention
The invention aims to provide a self-adaptive speed adjusting method for gluing based on a speed detection system so as to solve the problems in the background art.
In order to achieve the above purpose, the invention provides a self-adaptive speed adjusting method for gluing based on a speed detection system, which comprises the following steps:
S1, detecting data in real time by a detection processing unit, and preprocessing the data after the real-time detection;
S2, an analysis modeling unit receives the data after the pretreatment operation, analyzes whether the running speed and the gluing speed of the workpiece are the same as the target speed, whether the gluing quality is qualified or not, models and displays the analyzed pretreatment operation data, simultaneously transmits the analyzed pretreatment operation data into an automatic adjusting unit, and the automatic adjusting unit performs an automatic adjusting function according to the analyzed pretreatment operation data;
and S3, the optimizing and adjusting unit receives the data after preprocessing operation, the analyzed preprocessing operation data and the automatically adjusted data and performs optimizing and adjusting, the automatically adjusting unit performs automatic adjusting again according to the optimally adjusted data, and the analysis modeling unit performs analysis again on the automatically adjusted data again.
As a further improvement of the technical scheme, the system comprises a detection processing unit, an analysis modeling unit, an automatic adjusting unit and an optimization adjusting unit;
the detection processing unit is used for receiving the real-time detection data, preprocessing the real-time detection data, and transmitting the preprocessed real-time detection data into the analysis modeling unit and the optimization adjustment unit;
the analysis modeling unit is used for receiving the real-time detection data after the preprocessing operation, analyzing and modeling the data after the preprocessing operation, and transmitting preprocessing operation after the analysis modeling into the automatic adjusting unit and the optimization adjusting unit;
The automatic adjusting unit is used for receiving the preprocessing operation data after analysis modeling, performing an automatic adjusting function on the preprocessing operation data after analysis modeling, and transmitting the data after automatic adjustment into the optimization adjusting unit;
The optimization adjustment unit is used for receiving the real-time detection data after the preprocessing operation, analyzing the preprocessing operation data after modeling and automatically adjusting the data and performing optimization adjustment;
The optimization adjustment unit receives the real-time detection data after the preprocessing operation, analyzes the preprocessing operation data after modeling, performs optimization adjustment on the data after automatic adjustment, performs automatic adjustment again according to the data after optimization adjustment, and analyzes the data after automatic adjustment again.
As a further improvement of the technical scheme, the detection processing unit comprises a real-time detection module and a preprocessing module;
The real-time detection module is used for detecting data in real time and transmitting the data after the real-time detection into the preprocessing module;
the preprocessing module is used for receiving the data after the real-time detection, preprocessing the data after the real-time detection, and transmitting the data after the preprocessing into the analysis modeling unit and the optimization adjusting unit.
As a further improvement of the technical scheme, the analysis modeling unit comprises a data analysis module and a modeling display module;
The data analysis module is used for receiving the real-time detection data after the pretreatment operation in the pretreatment module, analyzing the real-time detection data after the pretreatment operation, analyzing whether the running speed and the gluing speed of the workpiece are the same as the target speed or not, judging whether the gluing quality is qualified or not, and transmitting the analyzed pretreatment operation into the modeling display module, the automatic adjustment unit and the optimization adjustment unit;
the modeling display module is used for receiving the analyzed preprocessing operation data, establishing template data for the analyzed preprocessing operation data, displaying the template data and storing the displayed template data.
As a further improvement of the technical scheme, the automatic adjusting unit is used for receiving the preprocessing operation data analyzed in the data analyzing module, performing an automatic adjusting function according to the preprocessing operation data analyzed, and transmitting the data after automatic adjustment into the optimizing and adjusting unit.
As a further improvement of the technical scheme, the optimization adjustment unit is used for receiving the real-time detection data after the preprocessing operation in the preprocessing module, receiving the preprocessing operation data after the analysis in the data analysis module, receiving the data after the automatic adjustment in the automatic adjustment unit, performing optimization adjustment on the real-time detection data after the preprocessing operation, the preprocessing operation data after the analysis and the data after the automatic adjustment, and transmitting the data after the optimization adjustment into the automatic adjustment unit.
As a further improvement of the technical scheme, the optimization adjusting unit receives real-time detection data after preprocessing operation, analyzed preprocessing operation data and automatically adjusted data and performs optimization adjustment, the data after optimization adjustment is transmitted to the automatic adjusting unit, the automatic adjusting unit performs an automatic adjusting function again according to the data after optimization adjustment, the data after the automatic adjustment again is transmitted to the data analyzing module, and the data analyzing module performs re-analysis on the data after the automatic adjustment again.
Compared with the prior art, the invention has the beneficial effects that:
1. In the self-adaptive speed adjusting method for the gluing based on the speed detection system, an optimization adjusting unit receives real-time detection data after pretreatment operation, analyzed pretreatment operation data and automatically adjusted data and performs optimization adjustment, and the automatic adjusting unit performs an automatic adjusting function again according to the optimally adjusted data, so that the gluing speed and the workpiece running speed are continuously adjusted to achieve the optimal effect of gluing quality, and stability and consistency of a gluing process are ensured;
the data analysis module carries out re-analysis on the data after re-automatic adjustment, so that the problem of gluing caused by mismatching of the gluing speed and the running speed of the workpiece is reduced through twice analysis, the gluing quality and the production efficiency are greatly improved, and the high-quality production effect is achieved.
Drawings
FIG. 1 is an overall block diagram of the present invention;
FIG. 2 is a block diagram of a detection processing unit according to the present invention;
FIG. 3 is a block diagram of an analytical modeling unit of the present invention.
The meaning of each reference sign in the figure is:
1. a detection processing unit; 11. a real-time detection module; 12. a preprocessing module;
2. an analysis modeling unit; 21. a data analysis module; 22. modeling and displaying the module;
3. An automatic adjustment unit;
4. And optimizing the adjusting unit.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
The invention provides a self-adaptive speed adjusting method for gluing based on a speed detection system, referring to fig. 1-3, comprising the following steps:
s1, detecting data in real time by a detection processing unit 1, and preprocessing the data after the real-time detection;
s2, an analysis modeling unit 2 receives the data after the pretreatment operation, analyzes whether the running speed and the gluing speed of a workpiece are the same as the target speed, whether the gluing quality is qualified or not, models and displays the analyzed pretreatment operation data, simultaneously transmits the analyzed pretreatment operation data into an automatic adjusting unit 3, and the automatic adjusting unit 3 performs an automatic adjusting function according to the analyzed pretreatment operation data;
and S3, the optimization adjusting unit 4 receives the data after preprocessing operation, the data after analysis and the data after automatic adjustment, performs optimization adjustment, the automatic adjusting unit 3 performs automatic adjustment again according to the data after optimization adjustment, and the analysis modeling unit 2 performs analysis again on the data after automatic adjustment again.
The system comprises a detection processing unit 1, an analysis modeling unit 2, an automatic adjusting unit 3 and an optimization adjusting unit 4;
Considering that the glue coating speed of the product and the workpiece running speed of production equipment in the current market are either too fast or too low, so that the glue coating quality is reduced due to mismatching of the glue coating speed and the workpiece running speed, a large amount of product quality is disqualified, and a large amount of resource waste is caused, a glue coating self-adaptive speed adjusting method based on a speed detection system is provided, a detection processing unit 1 in the system is used for receiving real-time detection data and performing preprocessing operation on the real-time detection data, the real-time detection data after the preprocessing operation is transmitted to an analysis modeling unit 2 and an optimization adjusting unit 4, the analysis modeling unit 2 is used for receiving the real-time detection data after the preprocessing operation and performing analysis modeling on the data after the preprocessing operation, the preprocessing operation data after the analysis modeling is transmitted to an automatic adjusting unit 3 and an optimization adjusting unit 4, the automatic adjusting function is performed on the preprocessing operation data after the analysis modeling, and the data after the automatic adjusting unit 4 is used for receiving the real-time detection data after the preprocessing operation, the preprocessing operation data and performing optimization adjustment on the data after the modeling;
The optimization adjusting unit 4 receives real-time detection data after preprocessing operation, analyzes preprocessing operation data after modeling and automatically adjusts the data after automatic adjustment, automatically adjusts again according to the data after optimization adjustment, continuously adjusts the gluing speed and the workpiece running speed to achieve the optimal effect of gluing quality, ensures the stability of gluing quality, analyzes the data after automatic adjustment again, and analyzes the gluing speed and the workpiece running speed more strictly to reduce the gluing quality due to mismatching, thereby ensuring the stability of gluing quality.
The above units are detailed below, please refer to fig. 2-3;
the detection processing unit 1 comprises a real-time detection module 11 and a preprocessing module 12;
The real-time detection module 11 is used for detecting data in real time, the real-time detection data comprise data of real-time detection gluing speed, workpiece running speed, gluing quality, workpiece materials and gluing quantity, vision detection technology (real-time detection gluing speed and workpiece running speed) and image ranging (real-time detection gluing speed and workpiece running speed are used for using a binocular vision system or three-dimensional vision), the gluing quality is detected in real time through a flatness detector (flatness of a gluing surface can be estimated, the gluing uniformity and the surface quality can be evaluated), accurate speed information can be provided, data are provided for self-adaptive speed adjustment of gluing equipment, wireless transmission (wireless transmission is used for transmitting the speed information through wireless signals, wireless transmission technology comprises Bluetooth, wi-Fi and RFID), the data after real-time detection are transmitted into the preprocessing module 12, the preprocessing module 12 is used for receiving the data after real-time detection, the preprocessing operation comprises data (extraction speed value and time information related to the same), speed average value (calculation of the data obtained by the vision detection technology and the image ranging, calculation of the gluing speed and the data obtained by calculating the speed, the data obtained by the vision detection technology and the image ranging, and the data obtained by the filtering operation is more stable and the data are processed by the filtering unit, and the data is more stable and the data processing quality is processed and the data is more stable and the data processing and is processed and has been processed and has the quality is more processing and is processed by the filtering unit 2.
The analysis modeling unit 2 includes a data analysis module 21 and a modeling display module 22;
The data analysis module 21 is configured to receive the real-time detection data after the preprocessing operation in the preprocessing module 12, analyze the real-time detection data after the preprocessing operation, analyze whether the workpiece running speed and the gluing speed are the same as the target speed, analyze whether the gluing quality is qualified, and when the gluing quality is not qualified, indicate the gluing quality problem caused by mismatching of the gluing speed and the workpiece speed, so that the gluing quality needs to be improved by adjusting the gluing speed and the workpiece speed, or the workpiece material can be detected, and the gluing quantity is adjusted according to the workpiece, so that the gluing quality can be improved, the wave rate of the gluing is reduced, the obtained real-time speed information is compared with the target speed set by the workpiece, and according to the comparison result, the automatic adjustment function automatically improves the gluing speed and the workpiece running speed, and when the gluing speed and the workpiece running speed are lower than the target speed, the automatic adjustment function automatically reduces the gluing speed and the workpiece running speed, and ensures the speed stability and accuracy in the gluing process.
The analyzed pretreatment operation data are transmitted into a modeling display module 22, an automatic adjusting unit 3 and an optimizing and adjusting unit 4, the modeling display module 22 is used for receiving the analyzed pretreatment operation data, establishing template data for the analyzed pretreatment operation data, the template data comprise gluing speed, workpiece operation speed and gluing quality detection results, displaying the template data, facilitating timely notification, storing the displayed template data, facilitating subsequent inquiry and management, meanwhile, the automatic adjusting unit 3 is used for receiving the analyzed pretreatment operation data in the data analyzing module 21, performing an automatic adjusting function according to the analyzed pretreatment operation data, adjusting the gluing speed and workpiece operation speed by utilizing a PID control algorithm, ensuring the stability and consistency of the speed, transmitting the automatically adjusted data into the optimizing and adjusting unit 4, the optimizing and adjusting unit 4 is used for receiving real-time detection data after the pretreatment operation in the preprocessing module 12, receiving the analyzed pretreatment operation data in the data analyzing module 21, receiving the automatically adjusted data in the automatic adjusting unit 3, and automatically adjusting the pretreatment operation data after the pretreatment operation data in the automatic adjusting unit, and optimizing and adjusting the quality of the glue in the automatic adjusting unit 3, and reducing the glue quality can be achieved by changing the optimal gluing speed after the automatic adjustment data;
The mathematical formula of the PID control algorithm is as follows:
speed of modulation = Kp speed + Ki cumulative speed + Kd speed rate of change;
wherein:
kp is the workpiece running speed and is used for adjusting the direct influence of the workpiece running speed on output;
Ki is the glue speed for adjusting the effect of glue speed on output;
kd is the glue quality and is used for adjusting the influence of the change rate of the glue quality on the output;
Speed deviation = target speed-actual detection calculated average speed;
Mass accumulated bias = mass accumulated bias + velocity bias time interval;
Speed change rate= (speed deviation-last speed deviation)/time interval;
The formula is mainly applied to automatic adjustment of the workpiece running speed and the gluing speed, the accurate workpiece running speed and gluing speed can be calculated through the formula, the workpiece running speed and the gluing speed are consistent with expected speeds, and accurate speed information can be provided.
The optimization adjusting unit 4 receives the real-time detection data after pretreatment operation, the pretreatment operation data after analysis and the data after automatic adjustment and performs optimization adjustment, the optimized and adjusted data is transmitted into the automatic adjusting unit 3, the automatic adjusting unit 3 performs the automatic adjustment function again according to the optimized and adjusted data, the optimal gluing speed range, angle and position can be found through the optimized and adjusted data for automatic adjustment again, so that the optimal gluing effect and technological performance are achieved, defects and defects in the gluing process are reduced, efficiency and production quality are improved, the re-automatically adjusted data are transmitted into the data analyzing module 21, the re-automatically adjusted data are analyzed again by the data analyzing module 21, the gluing speed can be accurately adjusted through two times of analysis, defects such as uneven gluing thickness, bubbles and wrinkling in the gluing process can be reduced, and accordingly the gluing uniformity, consistency and quality stability are improved.
The use flow is as follows:
The data analysis module 21 receives the real-time detection data after the preprocessing operation, analyzes whether the running speed and the gluing speed of the workpiece are the same as the target speed, and whether the gluing quality is qualified or not, transmits the analyzed preprocessing operation data into the modeling display module 22, the modeling display module 22 receives the analyzed preprocessing operation data, establishes template data, displays the template data and stores the template data, simultaneously transmits the analyzed preprocessing operation data into the automatic adjustment unit 3 and the optimization adjustment unit 4, the automatic adjustment unit 3 receives the preprocessing operation data analyzed in the data analysis module 21 and performs an automatic adjustment function, transmits the automatically adjusted data into the optimization adjustment unit 4, the optimization adjustment unit 4 optimally adjusts the real-time detection data after the preprocessing operation, the analyzed preprocessing operation data and the automatically adjusted data, and transmits the optimally adjusted data into the automatic adjustment unit 3, and the automatic adjustment unit 3 continuously adjusts the running speed and the gluing speed of the workpiece according to the optimally adjusted data so as to achieve the optimal gluing quality, improves the gluing stability, and improves the product quality, and transmits the automatically adjusted data into the modeling display module 22 again after the automatic adjustment to analyze the data.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (1)
1. The self-adaptive speed adjusting method for gluing based on the speed detection system is characterized by comprising the following steps of:
the speed detection system comprises a detection processing unit (1), an analysis modeling unit (2), an automatic adjusting unit (3) and an optimization adjusting unit (4);
The detection processing unit (1) is used for receiving real-time detection data, preprocessing the real-time detection data, and transmitting the preprocessed real-time detection data into the analysis modeling unit (2) and the optimization adjusting unit (4);
The analysis modeling unit (2) is used for receiving the real-time detection data after the preprocessing operation, analyzing and modeling the data after the preprocessing operation, and transmitting the preprocessing operation after the analysis modeling into the automatic adjusting unit (3) and the optimization adjusting unit (4);
The automatic adjusting unit (3) is used for receiving the preprocessing operation data after analysis modeling, performing an automatic adjusting function on the preprocessing operation data after analysis modeling, and transmitting the data after automatic adjustment into the optimization adjusting unit (4);
The optimization adjusting unit (4) is used for receiving the real-time detection data after the preprocessing operation, analyzing the preprocessing operation data after the modeling, automatically adjusting the data and performing optimization adjustment;
The optimization adjusting unit (4) receives real-time detection data after preprocessing operation, analyzes preprocessing operation data after modeling, performs optimization adjustment on automatically adjusted data, performs automatic adjustment again according to the optimally adjusted data, and analyzes the automatically adjusted data again;
The method for adjusting the self-adaptive speed of the gluing through the speed detection system comprises the following steps:
S1, detecting data in real time by a detection processing unit (1), and preprocessing the data after the real-time detection;
S2, an analysis modeling unit (2) receives data after pretreatment operation, analyzes the data after pretreatment operation, analyzes whether the running speed and the gluing speed of a workpiece are the same as the target speed, whether the gluing quality is qualified or not, models and displays the analyzed pretreatment operation data, simultaneously transmits the analyzed pretreatment operation data into an automatic adjusting unit (3), and the automatic adjusting unit (3) performs an automatic adjusting function according to the analyzed pretreatment operation data;
s3, an optimization and adjustment unit (4) receives the data after preprocessing operation, the data after analysis and the data after automatic adjustment, and performs optimization and adjustment, an automatic adjustment unit (3) performs automatic adjustment again according to the data after optimization and adjustment, and an analysis modeling unit (2) performs analysis again on the data after automatic adjustment again;
The detection processing unit (1) comprises a real-time detection module (11) and a preprocessing module (12);
The real-time detection module (11) is used for detecting data in real time, transmitting the data after the real-time detection into the preprocessing module (12), wherein the data after the real-time detection comprise data for detecting the gluing speed, the workpiece running speed, the gluing quality, the workpiece material and the gluing quantity in real time, using a binocular vision system or three-dimensional vision to detect the gluing speed and the workpiece running speed in real time by utilizing a vision detection technology and image ranging, detecting the flatness of a gluing surface by a flatness detector, and evaluating the uniformity and the surface quality of the gluing;
The preprocessing module (12) is used for receiving the data after the real-time detection, preprocessing the data after the real-time detection, and transmitting the data after the preprocessing into the analysis modeling unit (2) and the optimization adjusting unit (4);
The analysis modeling unit (2) comprises a data analysis module (21) and a modeling display module (22);
The data analysis module (21) is used for receiving the real-time detection data after the pretreatment operation in the pretreatment module (12), analyzing the real-time detection data after the pretreatment operation, analyzing whether the running speed and the gluing speed of a workpiece are the same as the target speed or not, judging whether the gluing quality is qualified or not, and transmitting the analyzed pretreatment operation into the modeling display module (22), the automatic adjustment unit (3) and the optimization adjustment unit (4);
The modeling display module (22) is used for receiving the analyzed preprocessing operation data, establishing template data for the analyzed preprocessing operation data, displaying the template data and storing the displayed template data;
The automatic adjusting unit (3) is used for receiving the preprocessing operation data analyzed in the data analyzing module (21), performing an automatic adjusting function according to the preprocessing operation data analyzed, and transmitting the data after automatic adjustment into the optimizing adjusting unit (4); the optimization adjusting unit (4) is used for receiving the real-time detection data after the preprocessing operation in the preprocessing module (12), receiving the preprocessing operation data after the analysis in the data analysis module (21), receiving the data after the automatic adjustment in the automatic adjusting unit (3), performing optimization adjustment on the real-time detection data after the preprocessing operation, the preprocessing operation data after the analysis and the data after the automatic adjustment, and transmitting the optimized and adjusted data into the automatic adjusting unit (3);
The optimization adjusting unit (4) receives the real-time detection data after preprocessing operation, the preprocessing operation data after analysis and the data after automatic adjustment, performs optimization adjustment, transmits the data after optimization adjustment into the automatic adjusting unit (3), performs the automatic adjustment function again according to the data after optimization adjustment, transmits the data after automatic adjustment again into the data analysis module (21), and the data analysis module (21) performs re-analysis on the data after automatic adjustment again.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310983996.1A CN117094137B (en) | 2023-08-07 | 2023-08-07 | Self-adaptive speed adjusting method for gluing based on speed detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310983996.1A CN117094137B (en) | 2023-08-07 | 2023-08-07 | Self-adaptive speed adjusting method for gluing based on speed detection system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117094137A CN117094137A (en) | 2023-11-21 |
| CN117094137B true CN117094137B (en) | 2024-04-30 |
Family
ID=88781418
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310983996.1A Active CN117094137B (en) | 2023-08-07 | 2023-08-07 | Self-adaptive speed adjusting method for gluing based on speed detection system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117094137B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH02235735A (en) * | 1989-03-10 | 1990-09-18 | Shibuya Kogyo Co Ltd | Paste-applying device |
| CN105700577A (en) * | 2016-04-01 | 2016-06-22 | 常州机电职业技术学院 | Closed-loop automatic speed regulation control system |
| CN205485656U (en) * | 2016-04-01 | 2016-08-17 | 常州机电职业技术学院 | Closed-loop automatic speed regulation control system |
| CN112427266A (en) * | 2020-11-19 | 2021-03-02 | 中国科学院沈阳自动化研究所 | High-precision intelligent glue coating method and device for ultrahigh-viscosity glue solution |
| CN113892731A (en) * | 2021-10-13 | 2022-01-07 | 云路复合材料(上海)有限公司 | Quantitative three-dimensional curved surface gluing system and quantitative three-dimensional curved surface gluing method |
| CN115608566A (en) * | 2022-10-27 | 2023-01-17 | 湖南润伟智能机器有限公司 | A fully automatic gluing device and automatic gluing control method |
| CN218610163U (en) * | 2022-10-25 | 2023-03-14 | 北京奔驰汽车有限公司 | Gluing system based on PID automatic control |
| CN116422521A (en) * | 2022-10-25 | 2023-07-14 | 北京奔驰汽车有限公司 | PID (proportion integration differentiation) automatic control-based gluing system and method |
-
2023
- 2023-08-07 CN CN202310983996.1A patent/CN117094137B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH02235735A (en) * | 1989-03-10 | 1990-09-18 | Shibuya Kogyo Co Ltd | Paste-applying device |
| CN105700577A (en) * | 2016-04-01 | 2016-06-22 | 常州机电职业技术学院 | Closed-loop automatic speed regulation control system |
| CN205485656U (en) * | 2016-04-01 | 2016-08-17 | 常州机电职业技术学院 | Closed-loop automatic speed regulation control system |
| CN112427266A (en) * | 2020-11-19 | 2021-03-02 | 中国科学院沈阳自动化研究所 | High-precision intelligent glue coating method and device for ultrahigh-viscosity glue solution |
| CN113892731A (en) * | 2021-10-13 | 2022-01-07 | 云路复合材料(上海)有限公司 | Quantitative three-dimensional curved surface gluing system and quantitative three-dimensional curved surface gluing method |
| CN218610163U (en) * | 2022-10-25 | 2023-03-14 | 北京奔驰汽车有限公司 | Gluing system based on PID automatic control |
| CN116422521A (en) * | 2022-10-25 | 2023-07-14 | 北京奔驰汽车有限公司 | PID (proportion integration differentiation) automatic control-based gluing system and method |
| CN115608566A (en) * | 2022-10-27 | 2023-01-17 | 湖南润伟智能机器有限公司 | A fully automatic gluing device and automatic gluing control method |
Non-Patent Citations (1)
| Title |
|---|
| 基于SCA的ABB机器人自适应涂胶系统设计;曹德严;王小康;;内燃机与配件(第16期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117094137A (en) | 2023-11-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114754824B (en) | Monitoring and early warning method and system for wire drawing machine | |
| CN113909996B (en) | High-end equipment machining state monitoring method and system based on digital twinning | |
| CN116213095B (en) | Intelligent clean coal product ash content adjusting method and system based on dense medium separation | |
| US11908127B2 (en) | Internet of Things systems for industrial data processing, control methods, and storage medium thereof | |
| CN117399435B (en) | Self-adaptive compensation adjustment method and system for copper pipe rolling process | |
| CN118484996B (en) | Intelligent cutting system for steel plate shearing based on artificial intelligence | |
| CN117094137B (en) | Self-adaptive speed adjusting method for gluing based on speed detection system | |
| CN117234165A (en) | Automatic pipeline control system and control method based on computer vision | |
| CN118840982B (en) | Double-sided liquid crystal display television system | |
| CN116611747A (en) | Resource information intelligent management system based on cloud computing | |
| CN115375658A (en) | Online milling cutter wear monitoring system | |
| CN117950324B (en) | Intelligent plastic feeding control method and device | |
| CN107271446B (en) | Visual detection method for rubber wire of timing gear chamber of engine | |
| CN119024786A (en) | A display panel production line production supervision system based on artificial intelligence | |
| CN118586789A (en) | A wood-plastic board production management system based on the Internet of Things | |
| CN103279073A (en) | Control system for steel continuous production line | |
| CN116561525B (en) | Intelligent monitoring method for brewing data of refined beer based on Internet of things | |
| CN116578049B (en) | Digital transformation method based on industrial Internet | |
| CN114937015B (en) | Intelligent visual identification method and system in manufacturing of lithium battery pole piece | |
| US11320809B2 (en) | Factory management system and control system | |
| CN117492490B (en) | Intelligent temperature control system for glass processing based on data analysis | |
| CN112606254A (en) | Intelligent polyester resin granulation system for powder coating | |
| CN201644512U (en) | Detecting device for detecting needle holes at edge part of thin-belt material | |
| CN110773453A (en) | Online detection punching method and device for LED support material belt | |
| CN119031115B (en) | A naked-eye 3D display management system with real-time data adjustment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |