Device for detecting state of feeder of special-shaped element inserting machine
Through the combination of camera and computing unit, the problems of sensor abnormalities and component attitude errors are solved, stable monitoring and early warning of feeder status are realized, and production efficiency is improved.
Patent Information
- Application Number
- CN202510668808.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-23
- Publication Date
- 2025-07-11
AI Technical Summary
The status detection of existing feeders mainly relies on sensors, and cannot detect sensor abnormalities and component attitude errors, resulting in frequent interruption of plug-in headers and reducing production efficiency.
The camera monitoring combined with the calculation unit is used to realize the stable delivery and attitude monitoring of components through vibrating screens and multi-axis mobile plug-in heads. The lightweight learning model is used to analyze the feeder status and issue an early warning.
Improve the stability and accuracy of feeder status detection, reduce temporary interruptions of plug-in heads, and improve production efficiency.
Smart Images

Figure CN120302630A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of feeder state detection for special-shaped component insertion machines, and specifically to a feeder state detection device for special-shaped component insertion machines. Background Art
[0002] A special-shaped component insertion machine is an automated device dedicated to processing electronic components with various shapes and sizes, and is widely used in the electronics manufacturing industry. Its main features include high precision and flexibility, modular design, high speed and stability, and versatility. During use, the device realizes automatic identification, grasping, and precise insertion of components through a vision recognition system, a precision robotic arm, and a control system, significantly improving production efficiency and product quality. As an important auxiliary device of the special-shaped component insertion machine, the stability and feeding accuracy of the feeder directly affect the performance of the special-shaped component insertion machine.
[0003] To overcome the above defects, the prior art (a Chinese patent application with the application number CN202110874364.2 and the filing date of July 30, 2021) provides a feeder state detection method and device. When it is detected that the remaining quantity satisfies the first condition, continuously monitor the remaining quantity of the chip component and output a first prompt signal; when it is detected that the remaining quantity of the chip component satisfies the second condition, continuously monitor the remaining quantity of the chip component and output a second prompt signal; when it is detected that the remaining quantity of the chip component satisfies the third condition, output a third prompt signal. By detecting the remaining quantity of the chip component in the feeder multiple times and outputting different prompt signals according to different conditions satisfied by the remaining quantity, it realizes automatic monitoring of the remaining quantity state of the chip component in the feeder and automatically reminds the user to replenish the chip component in the feeder. Although the prior art can complete quantitative feeding, during the working process, the traditional feeder state detection mainly relies on technologies such as sensors to detect the feeding state. This method has great limitations. If abnormal situations such as material jams occur between sensors, the sensors are unable to detect them. In other places on the feeding track, problems such as incorrect placement postures of components and abnormal distances caused by component deformation may also occur. The existing sensors cannot detect these abnormalities and cannot issue abnormal warnings to the operator in advance. These abnormalities will cause the insertion head to temporarily interrupt work, which greatly reduces production efficiency.
[0004] In view of the above problems, there is an urgent need to innovate and design on the basis of the original feeder state detection device for special-shaped component insertion machines. Summary of the Invention
[0005] The purpose of the present invention is to provide a state detection device for a feeder of a special-shaped component insertion machine, so as to solve the problems proposed in the above-mentioned background technology. The traditional state detection of the feeder mainly relies on technologies such as sensors to detect the feeding state. This method has great limitations. If abnormal situations such as material jams occur between sensors, the sensors are unable to detect them. In other parts of the feeding track, problems such as incorrect placement postures of components and abnormal distances caused by component deformation may also occur. The existing sensors cannot detect these abnormalities and cannot issue abnormal warnings to the operator in advance. These abnormalities will cause the insertion head to temporarily interrupt work, which greatly reduces the production efficiency.
[0006] To achieve the above purpose, the present invention provides the following technical solution: A state detection device for a feeder of a special-shaped component insertion machine is provided with an insertion machine body for component insertion, and a vibrating screen is installed outside the insertion machine body; it includes: a feeding track one, installed on the side of the vibrating screen, and a multi-axis movable insertion head on the inner surface of the insertion machine body, and the insertion machine body is provided with a limiting and shunting mechanism.
[0007] Preferably, the limiting and shunting mechanism includes a feeding track two assembled on the inner surface of the insertion machine body, and components are conveyed on the upper surface of the feeding track two, and the insertion machine body is provided with a multi-position monitoring mechanism.
[0008] Through the above structure, it is convenient to effectively convey components and perform grasping and shunting during use.
[0009] Preferably, the multi-position monitoring mechanism includes a fixed bracket installed on the outer surface of the insertion machine body, a camera is assembled on the outer surface of the fixed bracket, and a three-color indicator light is installed above the insertion machine body and used to transmit alarm information to the user. At the same time, the camera's field of view covers the feeding track one and the feeding track two of the feeder and the moving range of the insertion head, for monitoring the operating state of the feeder.
[0010] Through the above structure, it is convenient to effectively control the position of the camera, improve the monitoring effect, and increase the moving range of the insertion head during use.
[0011] Preferably, the camera is installed above the feeder platform by using a fixed bracket, and the field of view coverage includes the feeding track one and the feeding track two and the movement path of the insertion shaft.
[0012] Through the above structure, the stability of the camera can be effectively controlled and the monitoring range of the camera can be controlled during use.
[0013] Preferably, a calculation unit is nested inside the insertion machine body, and a lightweight learning model is built in the calculation unit, which is used to analyze the current operating state of the feeder, capture operating abnormalities and issue early warning information, and learn about different operating states of the feeder.
[0014] With the above structure, during use, it effectively improves the operating state effect through the computing unit.
[0015] Preferably, the computing unit uses devices such as Raspberry Pi, Nano, and tablet computers to perform data processing and operation tasks. The optimization algorithms include: combining technologies such as YOLOv8 for target enhancement detection; based on background modeling and foreground extraction, integrating optical flow method to achieve moving target tracking, ensuring that each material on the feeding track can be successfully detected, and having the ability of self-learning, being able to learn according to the operations made by the operator on the previous detection results.
[0016] With the above structure, during use, it improves the algorithm stability of the computing unit and ensures that each material on the feeding track can be successfully detected.
[0017] Preferably, the inner surface of the component insertion machine body is nested with a touch screen, and the touch screen is used for visual operation of the device.
[0018] With the above structure, during use, it can improve the working effect and convenience.
[0019] Compared with the prior art, the beneficial effects of the present invention are: 1. For the feeder state detection device of the special-shaped component insertion machine, it is provided with a component insertion machine body that is convenient for positioning and assembly. Through the vibrating screen assembled by the component insertion machine body, it controls the feeding track to convey a pair of components, and through the second feeding track, it is used for later assembly of components on the components. And through the provided camera, it monitors the conveying stability, and with the use of the computing unit and the touch screen, it improves the operation and monitoring effects.
[0020] 2. For the feeder state detection device of the special-shaped component insertion machine, it is provided with a limiting and shunting mechanism, which is convenient for conveying components from the vibrating screen through the first feeding track, and with the use of the component insertion head, it clamps and conveys the components to the second feeding track again, improving the stability of component transfer; further, through the provided multiple groups of the first feeding track and the second feeding track, it improves the feeding stability and the feeding diversity.
[0021] 3. For the feeder state detection device of the special-shaped component insertion machine, it is provided with a multi-position monitoring mechanism. Through the use of the fixed bracket, it can adjust the angles of the assembled cameras at multiple positions, which is convenient for effectively monitoring the components on the first feeding track and the second feeding track; further, through the provided three-color indicator lights, with the monitoring use of the computing unit and the camera, it improves the monitoring effect and reminder. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 It is a three-dimensional structural schematic diagram of the component insertion machine body of the present invention; Figure 2 For the present invention Figure 1 Schematic diagram of the enlarged three-dimensional structure at position A in the present invention; Figure 3 Schematic diagram of the three-dimensional structure of the partial cross-section of the main body of the component insertion machine of the present invention; Figure 4 Schematic diagram of the three-dimensional structure of the second component feeding track of the present invention; Figure 5 Schematic diagram of the three-dimensional structure of the camera of the present invention; Figure 6 Schematic diagram of the three-dimensional structure of the calculation unit of the present invention.
[0023] In the figure: 1. Main body of the component insertion machine; 2. Vibration sieve; 3. First component feeding track; 4. Insertion head; 5. Second component feeding track; 6. Components; 7. Fixed bracket; 8. Camera; 9. Three-color indicator light; 10. Calculation unit; 11. Touch screen. Specific embodiments
[0024] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0025] Please refer to Figures 1-6 , the present invention provides the following technical solutions: A state detection device for the feeder of a special-shaped component insertion machine is provided with a main body 1 of the component insertion machine for component insertion, and a vibration sieve 2 is installed outside the main body 1 of the component insertion machine.
[0026] Embodiment 1: For Figures 1-3 the technical solution shown, the present invention provides the following technical solutions: A state detection device for the feeder of a special-shaped component insertion machine discloses: including: a first component feeding track 3, installed on the side of the vibration sieve 2, and a multi-axis movement of the inner surface of the main body 1 of the component insertion machine has an insertion head 4, and the main body 1 of the component insertion machine is provided with a limit and diversion mechanism; the limit and diversion mechanism includes a second component feeding track 5 assembled on the inner surface of the main body 1 of the component insertion machine, and components 6 are conveyed on the upper surface of the second component feeding track 5, and the main body 1 of the component insertion machine is provided with a multi-position monitoring mechanism.
[0027] During use, the vibration sieve 2 assembled by the main body 1 of the component insertion machine effectively cooperates with the first component feeding track 3 installed on the vibration sieve 2 to convey the components 6, and through the insertion head 4 assembled by the main body 1 of the component insertion machine, multiple groups of components 6 conveyed by the first component feeding track 3 can be stably clamped and conveyed onto the second component feeding track 5, and the components 6 are positioned and fed through the second component feeding track 5, facilitating the insertion head 4 to convey the components 6 onto the PCB board and improving the conveying stability of the components 6.
[0028] Embodiment 2: As Figure 1 , Figure 3 , Figure 4 and Figure 5 shown in this technical solution, on the basis of Embodiment 1, the monitoring stability of the camera 8 is also disclosed, and the specific content is as follows: The multi-position monitoring mechanism includes a fixed bracket 7 installed on the outer surface of the plug-in machine body 1, and a camera 8 is assembled on the outer surface of the fixed bracket 7. A three-color indicator light 9 is installed above the plug-in machine body 1 and is used to transmit alarm information to the user. At the same time, the field of view of the camera 8 covers the feeder feeding track 1 3 and the feeding track 2 5 and the moving range of the plug head 4, and is used to monitor the operating status of the feeder; The camera 8 is installed above the feeder platform by using the fixed bracket 7, and the field of view coverage includes the feeding track 1 3, the feeding track 2 5 and the movement path of the plug shaft.
[0029] When the feeding track 2 5 and the feeding track 1 3 assembled on the plug-in machine body 1 are feeding, the camera 8 on the fixed bracket 7 assembled on the plug-in machine body 1 can effectively monitor the feeding track 2 5 and the feeding track 1 3, improve the monitoring effect, and when it is found that the component 6 is damaged and tilted, effective monitoring and reminder can improve the monitoring effect.
[0030] Embodiment 3: As Figure 1 , Figure 3 and Figure 6 shown in this technical solution, on the basis of Embodiment 2, the effective calculation of the calculation unit 10 is also disclosed, and the specific content is as follows: A calculation unit 10 is nested inside the plug-in machine body 1, and the calculation unit 10 has a built-in lightweight learning model, which is used to analyze the current operating status of the feeder, capture operating abnormalities and send out warning information, and learn about different feeder operating states; The calculation unit 10 uses devices such as Raspberry Pi, Nano, and tablet computers to perform data processing and operation tasks. The optimization algorithms include: combining technologies such as YOLOv8 for target enhancement detection; Based on background modeling and foreground extraction, the optical flow method is fused to realize moving target tracking, ensuring that each material on the feeding track can be successfully detected, and having the ability of self-learning, and can learn according to the operations made by the operator on the previous detection results; A touch screen 11 is nested on the inner surface of the plug-in machine body 1, and the touch screen 11 is used for visual operation of the device.
[0031] When the camera 8 on the component insertion machine body 1 monitors, it can effectively cooperate with the calculation unit 10 and the touch screen 11 to control the convenient operation of the component insertion machine body 1 while calculating the recognition image of the camera 8. And when the first component supply track 3 and the second component supply track 5 are operating normally, the indicator light (green) of the three-color indicator light 9 lights up; when the calculation unit 10 determines that the component insertion machine body 1 is in a paused working state, the indicator light (orange) of the three-color indicator light 9 lights up; when the calculation unit 10 determines that an abnormal situation has occurred on the component supply track, the indicator light (red) corresponding to the occurred abnormality on the three-color indicator light 9 will light up, and the buzzer built in the three-color indicator light 9 will sound according to the operator's setting when a specific abnormality occurs, ensuring that the operator can notice the abnormal situation on the first component supply track 3 or the second component supply track 5 in the first time.
[0032] The content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.
[0033] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A state detection device for a feeder of a special-shaped component insertion machine, which is provided with an insertion machine body (1) for inserting components, and a vibrating screen (2) is installed outside the insertion machine body (1); It is characterized in that It includes: A feeding track one (3), which is installed on the side of the vibrating screen (2), and a plug head (4) moves in multiple axes on the inner surface of the insertion machine body (1), and the insertion machine body (1) is provided with a limit shunting mechanism.
2. The state detection device for the feeder of a special-shaped component plug-in machine according to claim 1, characterized in that: The limit shunting mechanism includes a feeding track two (5) assembled on the inner surface of the insertion machine body (1), and components (6) are conveyed on the upper surface of the feeding track two (5), and the insertion machine body (1) is provided with a multi-position monitoring mechanism.
3. The state detection device for the feeder of a special-shaped component plug-in machine according to claim 2, characterized in that: The multi-position monitoring mechanism includes a fixed bracket (7) installed on the outer surface of the insertion machine body (1), and a camera (8) is assembled on the outer surface of the fixed bracket (7), and a three-color indicator light (9) is installed above the insertion machine body (1) and is used to transmit alarm information to the user. At the same time, the field of view of the camera (8) covers the feeding track one (3) and the feeding track two (5) of the feeder and the moving range of the plug head (4), and is used to monitor the operating state of the feeder.
4. The state detection device for the feeder of a special-shaped component plug-in machine according to claim 3, characterized in that: The camera (8) is installed above the feeder platform by using the fixed bracket (7), and the field of view coverage range includes the feeding track one (3), the feeding track two (5) and the movement path of the plug shaft.
5. The state detection device for the feeder of a special-shaped component inserting machine according to claim 3, characterized in that: A computing unit (10) is nested inside the insertion machine body (1), and a lightweight learning model is built in the computing unit (10), which is used to analyze the current operating state of the feeder, capture operating anomalies and send early warning information, and learn about different operating states of the feeder.
6. The state detection device for the feeder of a special-shaped component insertion machine according to claim 5, characterized in that: The computing unit (10) uses devices such as Raspberry Pi, Nano, and tablet computers to execute data processing and operation tasks. The optimization algorithms include: combining technologies such as YOLOv8 for target enhancement detection; based on background modeling and foreground extraction, integrating the optical flow method to achieve moving target tracking, ensuring that each material on the feeding track can be successfully detected, and having the ability of self-learning, and being able to learn according to the operations of the operator on the previous detection results.
7. The state detection device for the feeder of the special-shaped component insertion machine according to claim 1, wherein: A touch screen (11) is nested on the inner surface of the insertion machine body (1), and the touch screen (11) is used for visual operation of the device.
Citation Information
Patent Citations
Feeder status detection method and device
CN113597259B