Electromagnetic hot-melt welding machine power-off alarm control system

Abstract

The application discloses a kind of electromagnetic hot melt welding machine power-off alarm control system, belong to electromagnetic hot melt welding machine technical field, comprising: welding piece information setting module, tentative welding parameter database, starting module, power supply module, temperature monitoring module, pressure monitoring module, real-time correction module, welding state monitoring module, power-off module, alarm module, display module and control module;Compared with prior art, the application can ensure that power-off early warning improves maintenance efficiency while improving welding efficiency, while reducing waste of welding parts.

Description

Technical Field

[0001] This invention belongs to the field of electromagnetic thermomelting welding machine technology, and specifically relates to an electromagnetic thermomelting welding machine power failure alarm control system. Background Technology

[0002] Electromagnetic thermomelting welding machine is a device that uses the principle of electromagnetic induction to perform thermomelting welding. It heats the workpiece by electromagnetic induction until it reaches its melting point, and then applies pressure to weld the workpiece together.

[0003] The heating and pressurizing performance of electromagnetic thermomelting welding machines will decline with long-term use. Currently, this can only be judged by the quality of the welded workpiece, and real-time intervention is not possible, resulting in waste of workpiece resources and increased welding costs for enterprises. Summary of the Invention

[0004] To address the problems mentioned in the background section, this invention provides a power failure alarm control system for an electromagnetic thermomelting welding machine. This system features improved maintenance efficiency through power failure early warning, while simultaneously increasing welding efficiency and reducing waste of welded parts.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a power failure alarm control system for an electromagnetic thermomelting welding machine, comprising: a welding part information setting module, a proposed welding parameter database, a start-up module, a power supply module, a temperature monitoring module, a pressure monitoring module, a real-time correction module, a welding status monitoring module, a power failure module, an alarm module, a display module, and a control module, wherein:

[0006] The welding component information setting module sets parameter information for the first and second welding components, including material and model.

[0007] The proposed welding parameter database stores welding parameters for each weldment, including the final heating temperature, the time to reach the final heating temperature, the final pressure, and the time to reach the final pressure.

[0008] The starting module activates the electromagnetic thermomelting welding machine to perform thermomelting pressure welding.

[0009] The power supply module provides power to each structure of the electromagnetic hot melt welding machine;

[0010] The temperature monitoring module detects the real-time temperature of the first and second welded parts during the hot melting process.

[0011] The pressure monitoring module detects the real-time pressure during the pressure welding process of the first and second welded parts;

[0012] The real-time correction module compares the real-time temperature and pressure detected by the temperature monitoring module and the pressure monitoring module with the welding parameters in the proposed welding parameter database, and corrects the welding parameters in real time when there is an error.

[0013] The welding status monitoring module monitors the status of the first and second welded parts during the hot melting and pressure welding process, and transmits information in a timely manner when there is an error in the status.

[0014] The power-off module cuts off power when the electromagnetic thermomelting welding machine completes welding or when an error report is received.

[0015] The alarm module will trigger an alarm when the electromagnetic thermomelting welding machine reports an error.

[0016] The display module displays the reasons for the error reports of the electromagnetic thermomelting welding machine;

[0017] The control module controls the system to perform the above operations according to a preset program.

[0018] Furthermore, the temperature monitoring module includes a first temperature detection module, a second temperature detection module, and a first timing module, wherein:

[0019] The first temperature detection module performs real-time detection of the surface temperature of the first welded part during the hot melting process;

[0020] The second temperature detection module performs real-time detection of the surface temperature of the second welded part during the hot-melt process;

[0021] The first timing module is used to time the hot melt time.

[0022] Furthermore, the pressure monitoring module includes a first pressure detection module, a second pressure detection module, and a second timing module, wherein:

[0023] The first pressure detection module performs real-time detection of the pressure applied to the first welded component during the pressure welding process.

[0024] The second pressure detection module is used for real-time detection of the pressure applied to the second welded component during the pressure welding process;

[0025] The second timing module times the pressurization time.

[0026] Furthermore, the real-time correction module includes a welding parameter calculation module and a welding parameter correction module, wherein:

[0027] The welding parameter calculation module receives welding parameters from the proposed welding parameter database, including the final heating temperature, time to reach the final heating temperature, final pressure, and time to reach the final pressure. It calculates the average heating rate and average pressurization rate of the first and second welded parts using the ratio of final heating temperature / time to reach the final heating temperature and the ratio of final pressure / time to reach the final pressure, respectively. It also receives the heating and pressurization times of the first and second welded parts from the first temperature detection module, the second temperature detection module, the first timing module, the first pressure detection module, the second pressure detection module, and the second timing module. It calculates the real-time virtual temperature and pressure of the first and second welded parts using the ratio of average heating rate * heating time and average pressurization rate * pressurization time, respectively.

[0028] The welding parameter correction module compares the calculated real-time virtual temperature and pressure with the detected real-time temperature and pressure. If there is no difference, it determines that the heating and pressurizing structure of the electromagnetic thermofusion welding machine is normal, and the system does not operate. If there is a difference, it calculates the corrected power supply time using [final heating temperature / actual temperature / heating time - already heated time] and [final pressure / actual pressure / pressurization time - already pressurized time] respectively. The control module controls the power supply module to supply power according to the corrected time. At the same time, upon completion of welding, it alarms through the alarm module and displays the correction factors through the display module, awaiting maintenance personnel to perform relevant inspections.

[0029] Furthermore, the welding condition monitoring module includes a second imaging module, a third imaging module, a welding condition discrimination module, and a welding condition image database, wherein:

[0030] The second imaging module captures images of the first welded component during the hot-melting process;

[0031] The third imaging module captures images of the second welded component during the hot-melting process.

[0032] The welding status determination module performs status recognition based on the hot-melt images of the first and second welded parts captured by the second and third imaging modules. The status recognition steps are as follows: the images of the first and second welded parts are binarized, and the binarized images of the first and second welded parts are compared with the binarized images of the first and second welded parts in normal hot-melt state. If the edge contour protrudes beyond a preset threshold, it is considered that the hot-melt has failed. The control module controls the power-off module to directly cut off the power, and at the same time controls the alarm module to sound an alarm and the display module to display, waiting for maintenance.

[0033] The welding state image database stores binarized images of each weldment at various states during the hot-melting process.

[0034] Furthermore, the parameter information of each weldment stored in the proposed welding parameter database is derived and set based on big data analysis.

[0035] Furthermore, the binarized images in the welding status image database are derived and set based on the binarization processing of historical welding images of each welded component.

[0036] Furthermore, it also includes an actual welding parameter database. The welding parameters of the welded parts, corrected by the real-time correction module, are stored in the actual welding parameter database. The average heating rate and average pressurization rate are calculated from the welding parameters in the actual welding parameter database within a set time period. If the average heating rate and average pressurization rate calculated after maintenance do not recover to the expected average heating rate and average pressurization rate, and the calculated average heating rate and average pressurization rate are in a stable state, then the expected average heating rate and average pressurization rate are replaced with the calculated average heating rate and average pressurization rate. The heating time and pressurization time to reach the final heating temperature and final pressurization degree are reset, and the reset expected welding parameters are used as the welding parameters for the next welding.

[0037] Furthermore, the welding component information setting module includes both manual and automatic settings. The automatic setting includes a first imaging module, an infrared thermal imaging module, a welding component discrimination module, and a welding component parameter database.

[0038] The first imaging module captures vertical images of the ports of the first welded component and the second welded component;

[0039] The infrared thermal imaging module acquires the temperatures of the first and second welded parts when the fixing devices are fixed and when the first and second welded parts are not fixed, respectively, based on infrared thermal imaging.

[0040] The weldment discrimination module performs binarization on images captured from the vertical ports of the first and second weldments. It then calculates the actual coordinates of the edges of the first and second weldments based on the correlation between the edge pixel blocks of the first and second weldments and the coordinate system between the camera device and the real world. Based on these actual coordinates, it calculates the model of the first and second weldments. Using the temperatures of the first and second weldments (fixed and unfixed) obtained by the infrared thermal imaging module, it calculates the heat absorption coefficients of the first and second weldments. Based on these heat absorption coefficients, it determines the materials of the first and second weldments. Finally, it compares the model with the parameters of each weldment to determine the welding parameters of the first and second weldments.

[0041] The welding parameter database stores the welding parameters for each welding component.

[0042] Furthermore, the welding parameters in the welding parameter database are derived and set based on the historical parameters of each welding component.

[0043] Compared with the prior art, the beneficial effects of the present invention are:

[0044] 1. This invention sets the material and model of the first and second welded parts, and then directly retrieves the welding parameters of the first and second welded parts based on preset welding parameters for each welded part. The welding parameters are set more accurately, resulting in good welding effect. At the same time, it can correct the parameters of the hot melt welding structure in real time based on the difference between the heating temperature and pressure of the first and second welded parts detected in real time. Under the premise that it can be adjusted without affecting the two welded parts, it can automatically correct and complete the welding before power-off warning. Under the premise that it cannot be adjusted, it directly cuts off the power and alarms. Compared with the prior art, it can improve the maintenance efficiency while ensuring power-off warning and welding efficiency, and reduce the waste of welded parts.

[0045] 2. This invention saves the actual welding parameters that differ from each other, and performs rule discovery based on the saved actual welding parameters. When the usage period is long and the preset rules cannot be restored, the preset rules are directly replaced with real-time rules, thus avoiding frequent power outage warnings for electromagnetic thermofusion welding based on the initial preset welding parameters.

[0046] 3. This invention can automatically set the material and model of the welded parts, resulting in more accurate settings, better welding effect, and a better data-based power failure alarm effect. Attached Figure Description

[0047] Figure 1 This is a system block diagram of the present invention;

[0048] Figure 2 This is a block diagram of the temperature monitoring module system of the present invention;

[0049] Figure 3 This is a block diagram of the pressure monitoring module system of the present invention;

[0050] Figure 4 This is a block diagram of the real-time correction module system of the present invention;

[0051] Figure 5 This is a block diagram of the welding condition monitoring module system of the present invention;

[0052] Figure 6 Block diagram of the module system for setting welding part information of the present invention;

[0053] In the diagram: 1. Welding component information setting module; 101. First imaging module; 102. Infrared thermal imaging module; 103. Welding component discrimination module; 104. Welding component parameter database;

[0054] 2. Startup module; 3. Proposed welding parameter database; 4. Actual welding parameter database;

[0055] 5. Temperature monitoring module; 501. First temperature detection module; 502. Second temperature detection module; 503. First timing module;

[0056] 6. Pressure monitoring module; 601. First pressure detection module; 602. Second pressure detection module; 603. Second timing module;

[0057] 7. Real-time correction module; 701. Welding parameter calculation module; 702. Welding parameter correction module;

[0058] 8. Welding condition monitoring module; 801. Second imaging module; 802. Third imaging module; 803. Welding condition discrimination module; 804. Welding condition image database;

[0059] 9. Display module; 10. Alarm module; 11. Power failure module; 12. Power supply module; 13. Control module. Detailed Implementation

[0060] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] Example 1:

[0062] Please see Figure 1-6 The present invention provides the following technical solution: a power failure alarm control system for an electromagnetic thermomelting welding machine, comprising: a welding part information setting module 1, a proposed welding parameter database 3, a start module 2, a power supply module 12, a temperature monitoring module 5, a pressure monitoring module 6, a real-time correction module 7, a welding status monitoring module 8, a power failure module 11, an alarm module 10, a display module 9, and a control module 13, wherein:

[0063] Welding part information setting module 1 sets parameter information for the first and second welding parts, including material and model.

[0064] The proposed welding parameter database 3 stores welding parameters for each weldment, including the final heating temperature, the time to reach the final heating temperature, the final pressure, and the time to reach the final pressure.

[0065] Start module 2 to start the electromagnetic thermomelting welding machine for thermomelting pressure welding;

[0066] Power supply module 12 provides power to all structures of the electromagnetic thermomelting welding machine;

[0067] Temperature monitoring module 5 detects the real-time temperature of the first and second welded parts during the hot melting process;

[0068] Pressure monitoring module 6 detects the real-time pressure during the pressure welding process of the first and second welded parts;

[0069] The real-time correction module 7 compares the real-time temperature and pressure detected by the temperature monitoring module 5 and the pressure monitoring module 6 with the welding parameters in the proposed welding parameter database 3, and corrects the welding parameters in real time when there is an error.

[0070] The welding status monitoring module 8 monitors the status of the first and second welded parts during the hot melting and pressure welding process, and transmits information in a timely manner when there is an error in the status.

[0071] The power-off module 11 cuts off the power when the electromagnetic thermomelting welding machine completes welding or when an error report is received.

[0072] Alarm module 10 triggers an alarm when the electromagnetic thermomelting welding machine reports an error.

[0073] Display module 9 displays the reasons for error reports from the electromagnetic thermomelting welding machine;

[0074] Control module 13 controls the system to perform the above operations according to a preset program.

[0075] Specifically, the temperature monitoring module 5 includes a first temperature detection module 501, a second temperature detection module 502, and a first timing module 503, wherein:

[0076] The first temperature detection module 501 performs real-time detection of the surface temperature of the first welded part during the hot melting process.

[0077] The second temperature detection module 502 is used to detect the surface temperature of the second welded part in real time during the hot melting process.

[0078] The first timing module 503 is used to time the hot melt time.

[0079] Specifically, the pressure monitoring module 6 includes a first pressure detection module 601, a second pressure detection module 602, and a second timing module 603, wherein:

[0080] The first pressure detection module 601 is used for real-time detection of the pressure applied to the first welded part during the pressure welding process.

[0081] The second pressure detection module 602 is used for real-time detection of the pressure applied to the second welded part during the pressure welding process.

[0082] The second timing module 603 is used to time the pressurization time.

[0083] Specifically, the real-time correction module 7 includes a welding parameter calculation module 701 and a welding parameter correction module 702, wherein:

[0084] The welding parameter calculation module 701 receives welding parameters from the proposed welding parameter database 3, including the final heating temperature, time to reach the final heating temperature, final pressure, and time to reach the final pressure. It calculates the average heating rate and average pressurization rate of the first and second welded parts using the ratio of final heating temperature / time to reach the final heating temperature and the ratio of final pressure / time to reach the final pressure, respectively. It also receives the heating time and pressurization time of the first and second welded parts from the first temperature detection module 501, the second temperature detection module 502, the first timing module 503, the first pressure detection module 601, the second pressure detection module 602, and the second timing module 603. It calculates the real-time virtual temperature and pressure of the first and second welded parts using the ratio of average heating rate * heating time and average pressurization rate * pressurization time, respectively.

[0085] The welding parameter correction module 702 compares the calculated real-time virtual temperature and pressure with the detected real-time temperature and pressure. If there is no difference between the two, it is determined that the heating and pressurization structure of the electromagnetic thermomelting welding machine is normal and the system does not operate. If there is a difference between the two, the corrected power supply time is calculated by [final heating temperature / actual temperature / heating time - heating time] and [final pressure / actual pressure / pressurization time - pressurization time] respectively. The control module 13 controls the power supply module 12 to supply power according to the corrected time. At the same time, the alarm module 10 alarms and the correction factors are displayed by the display module 9 after the welding is completed, waiting for maintenance personnel to carry out relevant maintenance.

[0086] Specifically, the welding condition monitoring module 8 includes a second imaging module 801, a third imaging module 802, a welding condition discrimination module 803, and a welding condition image database 804, wherein:

[0087] The second imaging module 801 captures images of the first welded component during the hot-melting process.

[0088] The third imaging module 802 captures images of the second welded component during the hot-melting process.

[0089] The welding status determination module 803 performs status recognition based on the hot-melt images of the first and second welded parts captured by the second imaging module 801 and the third imaging module 802. The status recognition steps are as follows: the images of the first and second welded parts are binarized, and the binarized images of the first and second welded parts are compared with the binarized images of the first and second welded parts in normal hot-melt state. If the edge contour protrudes beyond a preset threshold, it is considered that the hot-melt has failed. The control module 13 controls the power-off module 11 to directly cut off the power, and at the same time controls the alarm module 10 to alarm and the display module 9 to display, waiting for maintenance.

[0090] The Welding Status Image Database 804 stores binarized images of each weldment at various stages of the hot-melting process.

[0091] Specifically, the parameter information of each weldment stored in the proposed welding parameter database 3 is derived and set based on big data analysis.

[0092] Specifically, the binarized images in the welding status image database 804 are derived and set based on the binarization processing of historical welding images of each welded component.

[0093] The working principle of this embodiment:

[0094] The material and model parameters of the first and second welded parts are set through the welding part information setting module 1. The control module 13 retrieves the welding parameters (final heating temperature, time to reach final heating temperature, final pressure, and time to reach final pressure) of the first and second welded parts from the proposed welding parameter database 3 based on the set material and model parameters. The system is started through the start module 2, and the control module 13 controls the power supply module 12 to supply power to the various structures of the electromagnetic thermomelting welding machine. The electromagnetic thermomelting welding machine begins thermomelting welding. During the thermomelting process, the final heating temperature and time to reach final heating temperature welding parameters in the proposed welding parameter database 3 are controlled by the control module 13. The data is transmitted to the welding parameter calculation module 701, which calculates the pseudo-average heating rate of the first and second weldments using formulas. Simultaneously, the first temperature detection module 501 and the second temperature detection module 502 monitor the surface temperatures of the first and second weldments in real time. The first timing module 503 times the hot-melt time. The data from the first temperature detection module 501, the second temperature detection module 502, and the first timing module 503 are transmitted to the welding parameter calculation module 701 in real time. The welding parameter calculation module 701 calculates the pseudo-heating temperature of the first and second weldments at the pseudo-average heating rate using formulas. The welding parameter correction module 702 then adjusts the calculated values. The calculated intended heating temperature is compared with the actual measured heating temperature. If there is no difference, it is determined that the electromagnetic thermomelting welding machine is heating normally and the system does not operate. If there is a difference, the corrected power supply time for the heating structure of the first and second welded parts is calculated using a formula. The control module 13 controls the power supply module 12 to supply power to the heating structure according to the corrected time. Simultaneously, after welding is completed, the power is cut off by the power-off module 11, the alarm module 10 sounds an alarm, and the correction factor is displayed by the display module 9, awaiting maintenance personnel to perform relevant maintenance. During the thermomelting process, the second imaging module 801 captures images of the first welded part during the thermomelting process, and the third imaging module 802 captures images of the second welded part during the thermomelting process. Images captured during the melting process by the second imaging module 801 and the third imaging module 802 are transmitted to the welding state discrimination module 803. The welding state discrimination module 803 binarizes the images of the first and second welded parts, and compares the edge contours of the binarized images of the first and second welded parts in normal hot-melt state stored in the welding state image database 804. If the edge contour protrudes beyond a preset threshold, it is considered a hot-melt failure, and the control module 13 controls the power-off module 11 to directly cut off the power. At the same time, the alarm module 10 alarms and the display module 9 displays, awaiting maintenance. The correction during the pressure welding process is similar to the above method, wherein:

[0095] Formulas for calculating the pseudo-average heating rate and pseudo-average pressurization rate:

[0096] The proposed average heating rate = the proposed final heating temperature / the proposed time to reach the final heating temperature

[0097] Predicted average pressurization rate = Predicted final pressurization pressure / Predicted time to reach final pressurization pressure

[0098] Formulas for calculating the corrected power supply time for heating and pressurizing structures:

[0099] Heating correction power supply time = [Final heating temperature / (Actual temperature / Heating time) - Heating time]

[0100] Pressure adjustment power supply time = [Final pressure applied / Actual pressure applied / Pressure applied time - Time already applied]

[0101] Example 2

[0102] The difference between this embodiment and Embodiment 1 is that:

[0103] Specifically, it also includes an actual welding parameter database 4. The welding parameters of the welded parts corrected by the real-time correction module 7 are stored in the actual welding parameter database 4. The average heating rate and average pressurization rate are calculated based on the welding parameters in the actual welding parameter database 4 within a set time period. If the average heating rate and average pressurization rate calculated after maintenance do not recover to the simulated average heating rate and average pressurization rate, and the calculated average heating rate and average pressurization rate are in a stable state, then the simulated average heating rate and average pressurization rate are replaced with the calculated average heating rate and average pressurization rate. The heating time and pressurization time to reach the final heating temperature and final pressurization intensity are reset, and the reset simulated welding parameters are used as the welding parameters for the next welding operation.

[0104] Example 3

[0105] The difference between this embodiment and embodiment two is that:

[0106] Specifically, the welding component information setting module 1 includes manual and automatic settings. The automatic setting includes a first imaging module 101, an infrared thermal imaging module 102, a welding component discrimination module 103, and a welding component parameter database 104.

[0107] The first imaging module 101 captures vertical images of the ports of the first welded component and the second welded component;

[0108] Infrared thermal imaging module 102 acquires the temperatures of the first and second welded parts when the fixing devices are fixed and unfixed, respectively, based on infrared thermal imaging.

[0109] The weldment discrimination module 103 binarizes images captured from the vertical ports of the first and second weldments, calculates the actual coordinates of the edges of the first and second weldments based on the correlation between the edge pixel blocks of the first and second weldments and the camera device and the real-world coordinate system, calculates the model of the first and second weldments based on the actual coordinates of the edges of the first and second weldments, calculates the heat absorption coefficient of the first and second weldments based on the temperatures of the first and second weldments fixed and unfixed by the fixed device obtained by the infrared thermal imaging module 102, determines the material of the first and second weldments based on the heat absorption coefficient, and compares the model with the parameters of each weldment to determine the welding parameters of the first and second weldments.

[0110] The welding parameter database 104 stores the welding parameters for each welding component.

[0111] Specifically, the welding parameters in the welding parameter database 104 are derived and set based on the historical parameters of each welding component.

[0112] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A power failure alarm control system for an electromagnetic thermomelting welding machine, characterized in that, include: The system includes a welding component information setting module (1), a proposed welding parameter database (3), a startup module (2), a power supply module (12), a temperature monitoring module (5), a pressure monitoring module (6), a real-time correction module (7), a welding status monitoring module (8), a power failure module (11), an alarm module (10), a display module (9), and a control module (13), among which: The welding component information setting module (1) sets parameter information including material and model for the first and second welding components; The proposed welding parameter database (3) stores welding parameters for each welded component, including the final heating temperature, the time to reach the final heating temperature, the final pressure, and the time to reach the final pressure. The starting module (2) starts the electromagnetic hot melt welding machine to perform hot melt pressure welding; The power supply module (12) provides power to each structure of the electromagnetic hot melt welding machine; The temperature monitoring module (5) detects the real-time temperature of the first and second welded parts during the hot melting process. The pressure monitoring module (6) detects the real-time pressure during the pressure welding process of the first and second welded parts; The real-time correction module (7) compares the real-time temperature and pressure detected by the temperature monitoring module (5) and the pressure monitoring module (6) with the welding parameters in the proposed welding parameter database (3), and performs real-time correction of the welding parameters when there is an error. The welding status monitoring module (8) monitors the status of the first and second welded parts during the hot melting and pressure welding process, and transmits information in a timely manner when there is an error in the status. The power-off module (11) cuts off power when the electromagnetic hot melt welding machine finishes welding or when an error report is received. The alarm module (10) will trigger an alarm when the electromagnetic thermomelting welding machine reports an error. The display module (9) displays the reasons for the error reports of the electromagnetic hot melt welding machine; The control module (13) controls the system to operate according to a preset program; The real-time correction module (7) includes a welding parameter calculation module (701) and a welding parameter correction module (702), wherein: The welding parameter calculation module (701) receives the welding parameters in the proposed welding parameter database (3), including the final heating temperature, the time to reach the final heating temperature, the final pressure, and the time to reach the final pressure. It calculates the average heating rate and average pressure rate of the first weldment and the second weldment respectively using the final heating temperature / time to reach the final heating temperature and the final pressure / time to reach the final pressure. It receives the heating time and pressure time of the first weldment and the second weldment from the first temperature detection module (501), the second temperature detection module (502), the first timing module (503), the first pressure detection module (601), the second pressure detection module (602), and the second timing module (603). It calculates the real-time virtual temperature and pressure of the first weldment and the second weldment respectively using the average heating rate * heating time and the average pressure rate * pressure time. The welding parameter correction module (702) compares the calculated real-time virtual temperature and pressure with the detected real-time temperature and pressure. If there is no difference between the two, it is determined that the heating and pressurization structure of the electromagnetic thermomelting welding machine is normal and the system does not operate. If there is a difference between the two, the corrected power supply time is calculated by the final heating temperature / (actual temperature / heating time) - the heating time and the final pressure / (actual pressure / pressurization time) - the pressurization time. The control module (13) controls the power supply module (12) to supply power according to the corrected time. At the same time, the alarm is triggered by the alarm module (10) and the correction factor is displayed by the display module (9) after the welding is completed, waiting for maintenance personnel to carry out maintenance.

2. The electromagnetic thermofusion welding machine power failure alarm control system according to claim 1, characterized in that: The temperature monitoring module (5) includes a first temperature detection module (501), a second temperature detection module (502), and a first timing module (503), wherein: The first temperature detection module (501) performs real-time detection of the surface temperature of the first welded part during the hot melting process; The second temperature detection module (502) performs real-time detection of the surface temperature of the second welded part during the hot melting process; The first timing module (503) times the hot melt time.

3. The electromagnetic thermofusion welding machine power failure alarm control system according to claim 2, characterized in that: The pressure monitoring module (6) includes a first pressure detection module (601), a second pressure detection module (602), and a second timing module (603), wherein: The first pressure detection module (601) is used for real-time detection of the pressure applied to the first welded part during the pressure welding process; The second pressure detection module (602) is used for real-time detection of the pressure applied to the second welded part during the pressure welding process; The second timing module (603) times the pressurization time.

4. The electromagnetic thermofusion welding machine power failure alarm control system according to claim 1, characterized in that: The welding condition monitoring module (8) includes a second imaging module (801), a third imaging module (802), a welding condition discrimination module (803), and a welding condition image database (804), wherein: The second imaging module (801) captures images of the first welded component during the hot-melting process; The third imaging module (802) captures images of the second welded component during the hot-melting process. The welding status discrimination module (803) performs status recognition based on the hot melt images of the first and second welded parts captured by the second shooting module (801) and the third shooting module (802). The status recognition steps are as follows: the images of the first and second welded parts are binarized, and the binarized images of the first and second welded parts are compared with the binarized images of the first and second welded parts in normal hot melt state. If the edge contour protrudes beyond the preset threshold, it is considered as hot melt failure. The control module (13) controls the power-off module (11) to directly cut off the power, and at the same time controls the alarm module (10) to alarm and the display module (9) to display, waiting for maintenance. The welding state image database (804) stores binarized images of each state during the hot melting process of each weldment.

5. The electromagnetic thermofusion welding machine power failure alarm control system according to claim 1, characterized in that: The parameter information of each weldment stored in the proposed welding parameter database (3) is derived and set based on big data analysis.

6. The electromagnetic thermofusion welding machine power failure alarm control system according to claim 4, characterized in that: The binarized images in the welding status image database (804) are derived and set based on the binarization processing of historical welding images of each welded component.

7. The electromagnetic thermofusion welding machine power failure alarm control system according to claim 1, characterized in that: It also includes an actual welding parameter database (4). The welding parameters of the welded parts after being corrected by the real-time correction module (7) are stored in the actual welding parameter database (4). The average heating rate and average pressurization rate are calculated by the welding parameters in the actual welding parameter database (4) within a set time period. If the average heating rate and average pressurization rate calculated after maintenance do not recover to the simulated average heating rate and average pressurization rate, and the calculated average heating rate and average pressurization rate are in a stable state, the simulated average heating rate and average pressurization rate are replaced with the calculated average heating rate and average pressurization rate. The heating time and pressurization time to reach the final heating temperature and final pressurization intensity are reset. The reset simulated welding parameters are used as the welding parameters for the next welding.

8. The electromagnetic thermofusion welding machine power failure alarm control system according to claim 1, characterized in that: The welding component information setting module (1) includes manual and automatic settings. The automatic setting includes a first imaging module (101), an infrared thermal imaging module (102), a welding component discrimination module (103), and a welding component parameter database (104). The first imaging module (101) captures vertical images of the ports of the first welded component and the second welded component; The infrared thermal imaging module (102) acquires the temperatures of the first and second welded parts when the fixing devices are fixed and when the first and second welded parts are not fixed, respectively, based on infrared thermal imaging. The welding component discrimination module (103) performs binarization based on the images taken at the vertical ports of the first and second welding components, calculates the actual coordinates of the edges of the first and second welding components based on the edge pixel blocks of the first and second welding components and the correlation between the camera device and the real-world coordinate system, calculates the model of the first and second welding components based on the actual coordinates of the edges of the first and second welding components, calculates the heat absorption coefficient of the first and second welding components based on the temperature of the first and second welding components when the fixed device is fixed and not fixed based on the temperature obtained by the infrared thermal imaging module (102), determines the material of the first and second welding components based on the heat absorption coefficient, and compares the model with the parameters of each welding component to determine the welding parameters of the first and second welding components. The welding parameter database (104) stores the welding parameters of each welding component.

9. The electromagnetic thermofusion welding machine power failure alarm control system according to claim 8, characterized in that: The welding parameters in the welding parameter database (104) are derived and set based on the historical parameters of each welding component.

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