Vacuum encapsulation size detection system

Abstract

The invention relates to the technical field of low-pressure vacuum encapsulation, and discloses a vacuum encapsulation size detection system, which comprises a camera control module, a correction module, a monitoring module and an alarm module, and is characterized in that firstly, the camera control module is connected with a plurality of industrial cameras to comprehensively monitor a support structure production line; the camera control module is connected with the correction module through a network, obtains position data of a plurality of support structures of a support structure production line and sends the position data to the correction module, and the correction module calculates an initial deviation CSpc according to the received position data and judges whether correction needs to be carried out or not; and the monitoring module calculates a position point deviation WDpc and a side length deviation BSpc according to the plurality of position point data and the plurality of side length data, and judges whether the current bracket structure meets the production requirements or not. The automatic detection efficiency is high, the detection precision is effectively improved, errors are reduced, meanwhile, the labor cost is reduced, and production is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of low - voltage vacuum potting, and particularly to a vacuum potting size detection system. Background Art

[0002] Low - voltage vacuum potting is a packaging process carried out in a vacuum environment. First, the product to be potted is placed in a vacuum chamber, and the air in the chamber is pumped out by a vacuum pump to make the product in a negative pressure state. Then, in the vacuum state, liquid or other forms of potting materials are injected into specific parts or gaps of the product. After the material solidifies, a sealed structure can be formed. Low - voltage vacuum potting plays an important role in the production process of smart wearables and watches, etc. Through low - voltage vacuum potting, the circuits inside smart wearable devices can be isolated from the outside world, preventing current leakage and short - circuit phenomena, ensuring the normal and stable operation of the devices, and improving safety. Especially for some smart wearable devices with high integration and complex circuits, at the same time, low - voltage vacuum potting can effectively prevent moisture and dust from entering the device interior, avoiding problems such as short - circuit and corrosion caused by water vapor condensation or dust accumulation, thereby improving the stability and reliability of the device and extending its service life.

[0003] In the production process of electronic devices such as smart wearables and mobile phones, the measurement of the size of the bracket structure after vacuum potting is a key step to ensure product quality. Since these devices have extremely high requirements for accuracy and reliability, 100% size measurement of the bracket structure after potting and demolding is required. However, the currently adopted semi - automatic 2.5 - D measurement method not only has low efficiency but also has large measurement errors, resulting in certain deviations in the measurement results, which not only affects the accuracy of the measurement but also increases the difficulty and complexity of data processing. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] Aiming at the deficiencies of the prior art, the present invention provides a vacuum potting size detection system, which first reduces the misjudgment problem caused by deviation in subsequent judgment of whether the bracket structure meets the production requirements through deviation correction, and then through automatic detection, can accurately measure the bracket structure, quickly and effectively capture defective products that appear in the production process. Compared with the semi - automatic 2.5 - D measurement method, it effectively improves efficiency, accuracy, reduces errors, and at the same time reduces labor costs and other advantages.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solution: A vacuum potting size detection system includes a camera control module, a correction module, a monitoring module, and an alarm module;

[0008] The camera control module comprehensively monitors the bracket structure production line by connecting multiple industrial cameras. The camera control module is connected to the correction module through a network, and obtains multiple bracket structure position data of the bracket structure production line and sends them to the correction module;

[0009] The correction module includes a judgment unit and a deviation correction unit. The judgment unit calculates the initial deviation CSpc according to the received position data, and judges whether deviation correction is required based on the calculated initial deviation CSpc. In the case where deviation correction is required, a signal is sent to the deviation correction unit for position correction. The correction module is connected to the monitoring module through a network;

[0010] The monitoring module includes a detection unit and an analysis unit. The detection unit scans a CCD camera through a connecting line to obtain multiple position point data and multiple side length data of the bracket structure and sends them to the analysis unit through a network. The analysis unit calculates the position point deviation WDpc according to the position point data and calculates the side length deviation BSpc according to the side length data. The analysis unit judges whether the current bracket structure meets the production requirements based on the position point deviation WDpc and the side length deviation BSpc. In the case where it does not meet the production requirements, an abnormal signal is sent to the alarm module;

[0011] The alarm module rejects the bracket structure that does not meet the production requirements according to the received signal and issues an abnormal alarm.

[0012] Preferably, while the camera control module comprehensively monitors the production line by connecting multiple industrial cameras, it also marks the monitoring positions of the multiple industrial cameras, and its marking numbers are: Among them, represents the monitoring position of the first industrial camera, that is, the feeding position on the production line, represents the monitoring position of the last industrial camera, n represents the total number of industrial cameras, that is, the total number of monitored positions, and v represents the position data obtained by the corresponding industrial camera.

[0013] Preferably, the calculation formula for the initial deviation CSpc is:

[0014]

[0015] In the calculation formula, Xpc represents the X-axis deviation data, Ypc represents the Y-axis deviation data, C x represents the X-axis position information of the feeding position of the bracket structure obtained by the industrial camera, represents the standard X-axis position information of the bracket structure, represents the X-axis deviation data of the bracket structure calculated by the Pythagorean theorem, C yRepresents the Y-axis position information at the feeding location of the bracket structure obtained by the industrial camera, Represents the standard Y-axis position information of the bracket structure, The Y-axis deviation data of the bracket structure calculated by the Pythagorean theorem.

[0016] Preferably, when any calculation result in the initial deviation CSpc calculation formula is greater than the standard deviation value, it represents that the bracket structure is offset during feeding, and the position of the bracket structure needs to be corrected, and a signal is sent to the deviation correction unit for position correction.

[0017] Preferably, a deviation correction controller is provided inside the deviation correction unit. When the deviation correction unit receives the deviation correction signal, it sends the deviation data to the deviation correction controller, and the deviation correction controller corrects the position of the bracket structure through the actuator.

[0018] Preferably, the marking numbers of the multiple position point data are: Among them, Represents the first position point data, Represents the last position point data, and represents that there are a total of four position point data. The superscript x represents the X coordinate of the corresponding position point data, and y represents the Y coordinate of the corresponding position point data.

[0019] Preferably, the marking numbers of the multiple side length data are: BJ1, BJ2, BJ3, BJ4. Among them, BJ1 represents the first side length data, BJ4 represents the last side length data, and represents that there are a total of four side length data.

[0020] Preferably, the first position point data among the marking numbers of the multiple position point data is set as the fixed position point data, and the calculation formula of the position point deviation WDpc is:

[0021]

[0022] In the calculation formula, Represents the position data of the i-th position point among the multiple position point data, Represents the specific data that the i-th position point data can represent, used to Perform restrictions on Represents the standard coordinate data of the i-th position point data.

[0023] Preferably, the calculation formula of the side length deviation BSpc is:

[0024] BSpc = BJ i -BJ oi

[0025] In the calculation formula, BJi Represents any ith side length data among multiple position point data, BJ oi Represents the standard value of any ith side length data.

[0026] Preferably, when the calculated value of the position point deviation WDpc is greater than the standard value of the position point deviation, it indicates that the current support structure does not meet the production requirements;

[0027] When the calculated value of the side length deviation BSpc is greater than the standard value of the side length deviation, it also indicates that the current support structure does not meet the production requirements.

[0028] Compared with the prior art, the present invention provides a vacuum potting size detection system, which has the following beneficial effects:

[0029] 1. First, the present invention obtains the X and Y axis position information at the feeding position of the support structure through an industrial camera, and then compares the obtained position information with the standard position, so as to judge whether there is a problem of support structure deviation during the initial feeding process, reducing the problem of misjudgment caused by deviation in subsequent judgment of whether the support structure meets the production requirements, and improving the detection effect and detection accuracy.

[0030] 2. The present invention calculates the position point deviation WDpc and the side length deviation BSpc through multiple position point data and multiple side length data, can accurately measure the support structure, and can quickly and effectively capture defective products that occur during the production process through the monitoring module after obtaining data by scanning the CCD camera. Compared with the semi-automatic 2.5D measurement method, it effectively improves the efficiency, accuracy, reduces errors, and at the same time reduces the labor cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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 the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0033] Please refer to Figure 1 , a vacuum potting size detection system, including a camera control module, a correction module, a monitoring module, and an alarm module;

[0034] The camera control module comprehensively monitors the bracket structure production line by connecting multiple industrial cameras. The camera control module is connected to the correction module through a network and obtains multiple bracket structure position data of the bracket structure production line and sends them to the correction module;

[0035] While the camera control module comprehensively monitors the production line by connecting multiple industrial cameras, it also marks the monitoring positions of the multiple industrial cameras. Its marking numbers are: Among them, represents the monitoring position of the first industrial camera, that is, the feeding place on the production line, represents the monitoring position of the last industrial camera, n represents the total number of industrial cameras, that is, the total number of monitoring positions, v represents the position data obtained by the corresponding industrial camera. The production line is comprehensively monitored through the industrial camera to understand the production status of the production line in real time, timely discover the defects and deficiencies in the production process, and master the production status in real time;

[0036] The correction module includes a judgment unit and a deviation correction unit. The judgment unit calculates the initial deviation CSpc based on the received position data and judges whether deviation correction is required according to the calculated initial deviation CSpc. In the case where deviation correction is required, a signal is sent to the deviation correction unit for position correction. The correction module is connected to the monitoring module through a network;

[0037] The calculation formula for the initial deviation CSpc is:

[0038]

[0039] In the calculation formula, Xpc represents the X-axis deviation data, Ypc represents the Y-axis deviation data, C x represents the X-axis position information of the bracket structure feeding place obtained through the industrial camera, represents the standard X-axis position information of the bracket structure, represents the X-axis deviation data of the bracket structure calculated through the Pythagorean theorem, C y represents the Y-axis position information of the bracket structure feeding place obtained through the industrial camera, represents the standard Y-axis position information of the bracket structure, represents the Y-axis deviation data of the bracket structure calculated through the Pythagorean theorem. The position of the bracket structure is determined respectively from the X-axis and the Y-axis to avoid misjudgment caused by the offset of the bracket structure;

[0040] When any calculation result in the initial deviation CSpc calculation formula is greater than the standard deviation value, it means that the bracket structure is offset during feeding and the position of the bracket structure needs to be corrected. A signal is sent to the deviation correction unit for position correction;

[0041] There is a deviation correction controller inside the deviation correction unit. When the deviation correction unit receives a deviation correction signal, it sends the deviation data to the deviation correction controller, and the deviation correction controller corrects the position of the support structure through the actuator;

[0042] First, obtain the X and Y axis position information of the support structure at the feeding position through an industrial camera, and then compare the obtained position information with the standard position to determine whether there is a problem of support structure deviation during the initial feeding process, reducing the problem of misjudgment caused by deviation in subsequent judgment of whether the support structure meets the production requirements, improving the detection effect and detection accuracy;

[0043] The monitoring module includes a detection unit and an analysis unit. The detection unit scans the CCD camera through a connection line to obtain multiple position point data and multiple side length data of the support structure and sends them to the analysis unit through the network. The analysis unit calculates the position point deviation WDpc based on the position point data and calculates the side length deviation BSpc based on the side length data. The analysis unit judges whether the current support structure meets the production requirements based on the position point deviation WDpc and the side length deviation BSpc. In the case of not meeting the production requirements, it sends an abnormal signal to the alarm module;

[0044] The marking numbers of multiple position point data are: Among them, represents the first position point data, represents the last position point data, and it means there are a total of four position point data. The superscript x represents the X coordinate of the corresponding position point data, and y represents the Y coordinate of the corresponding position point data. The four position point data respectively represent the four corner points of the support structure. After the potting and demolding of the support structures in the same batch, when their feeding positions are the same, the corresponding four corner points should be the same;

[0045] Set the first position point data among the marking numbers of multiple position point data as the fixed position point data. The calculation formula for the position point deviation WDpc is:

[0046]

[0047] In the calculation formula, represents the position data of the i-th position point among multiple position point data, represents the specific data that the i-th position point data can represent, and is used to limit , represents the standard coordinate data of the i-th position point data;

[0048] The marking numbers of multiple side length data are: BJ1, BJ2, BJ3, BJ4. Among them, BJ1 represents the first side length data, BJ4 represents the last side length data, and there are four side length data in total. The four side length data respectively represent the lengths of the four sides of the bracket structure. After the potting and demolding of the bracket structure in the same batch, when their feeding positions are the same, the corresponding four side length data should be the same;

[0049] The calculation formula for the side length deviation BSpc is:

[0050] BSpc = BJ i -BJ oi

[0051] In the calculation formula, BJ i represents any i-th side length data among multiple position point data, and BJ oi represents the standard value of any i-th side length data;

[0052] When the calculated value of the position point deviation WDpc is greater than the standard value of the position point deviation, it means that the current bracket structure does not meet the production requirements;

[0053] When the calculated value of the side length deviation BSpc is greater than the standard value of the side length deviation, it also means that the current bracket structure does not meet the production requirements;

[0054] Through the position point deviation WDpc and the side length deviation BSpc, the bracket structure can be accurately measured. After obtaining data by scanning the CCD camera and detecting through the monitoring module, defective products that occur during the production process can be quickly and effectively captured. Compared with the semi-automatic 2.5D measurement method, the efficiency, accuracy are effectively improved, the error is reduced, and the labor cost is reduced at the same time.

[0055] The alarm module rejects the bracket structure that does not meet the production requirements according to the received signal and issues an abnormal alarm.

[0056] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A vacuum potting size detection system, characterized in that: It includes a camera control module, a correction module, a monitoring module, and an alarm module; The camera control module comprehensively monitors the support structure production line by connecting multiple industrial cameras. The camera control module is connected to the correction module through a network and obtains multiple support structure position data of the support structure production line and sends them to the correction module; The correction module includes a judgment unit and a deviation correction unit. The judgment unit calculates the initial deviation CSpc according to the received position data, and judges whether deviation correction is required based on the calculated initial deviation CSpc. In the case where deviation correction is required, a signal is sent to the deviation correction unit for position correction. The correction module is connected to the monitoring module through a network; The monitoring module includes a detection unit and an analysis unit. The detection unit scans a CCD camera through a connecting wire to obtain multiple position point data and multiple side length data of the support structure and sends them to the analysis unit through a network. The analysis unit calculates the position point deviation WDpc according to the position point data and calculates the side length deviation BSpc according to the side length data. The analysis unit judges whether the current support structure meets the production requirements based on the position point deviation WDpc and the side length deviation BSpc. In the case where it does not meet the production requirements, an abnormal signal is sent to the alarm module; The alarm module discharges the support structure that does not meet the production requirements according to the received signal and issues an abnormal alarm.

2. The vacuum potting size detection system according to claim 1, characterized in that: While the camera control module comprehensively monitors the production line by connecting multiple industrial cameras, it also marks the monitoring positions of the multiple industrial cameras, and its marking numbers are: Among them, represents the monitoring position of the first industrial camera, that is, the feeding position on the production line, represents the monitoring position of the last industrial camera, n represents the total number of industrial cameras, that is, the total number of monitoring positions, and v represents the position data obtained by the corresponding industrial camera.

3. The vacuum potting size detection system according to claim 2, wherein: The calculation formula for the initial deviation CSpc is: In the calculation formula, Xpc represents the X-axis deviation data, and Ypc represents the Y-axis deviation data. C x represents the X-axis position information of the feeding location of the bracket structure obtained by the industrial camera, represents the standard X-axis position information of the bracket structure, represents the X-axis deviation data of the bracket structure calculated by the Pythagorean theorem. C y represents the Y-axis position information of the feeding location of the bracket structure obtained by the industrial camera, represents the standard Y-axis position information of the bracket structure, represents the Y-axis deviation data of the bracket structure calculated by the Pythagorean theorem.

4. A vacuum potting size detection system according to claim 3, characterized in that: When any calculation result in the initial deviation CSpc calculation formula is greater than the standard deviation value, it means that the support structure is offset during feeding, and the position of the support structure needs to be corrected. A signal is sent to the deviation correction unit for position correction.

5. The vacuum potting size detection system according to claim 4, characterized in that: A deviation correction controller is arranged inside the deviation correction unit. When the deviation correction unit receives a deviation correction signal, it sends the deviation data to the deviation correction controller, and the deviation correction controller corrects the position of the support structure through an actuator.

6. The vacuum potting size detection system according to claim 5, wherein: The marking numbers of the multiple position point data are as follows: Among them, represents the first position point data, represents the last position point data, and there are a total of four position point data. The superscript x represents the X coordinate of the corresponding position point data, and y represents the Y coordinate of the corresponding position point data.

7. The vacuum potting size detection system according to claim 6, wherein: The marking numbers of the multiple side length data are: BJ1, BJ2, BJ3, BJ4. Among them, BJ1 represents the first side length data, BJ4 represents the last side length data, and it means that there are a total of four side length data.

8. A vacuum potting size detection system according to claim 7, characterized in that: Set the first position point data in the marking numbers of the multiple position point data as the fixed position point data. The calculation formula for the position point deviation WDpc is: In the calculation formula, represents the position data of the i-th position point among multiple position point data, represents the specific data that the i-th position point data can represent, and is used to perform restrictions, represents the standard coordinate data of the i-th position point data.

9. The vacuum potting size detection system according to claim 8, wherein: The calculation formula for the side length deviation BSpc is: BSpc = BJ i -BJ oi In the calculation formula, BJ i represents any i-th side length data among multiple position point data, and BJ oi represents the standard value of any i-th side length data.

10. A vacuum potting size detection system according to claim 9, characterized in that: When the calculated value of the position point deviation WDpc is greater than the position point deviation standard value, it means that the current support structure does not meet the production requirements; When the calculated value of the side length deviation BSpc is greater than the side length deviation standard value, it also means that the current support structure does not meet the production requirements.

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