CN111069741B - Welding upset feed mechanism and lithium cell welding equipment thereof - Google Patents
Welding upset feed mechanism and lithium cell welding equipment thereof Download PDFInfo
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- CN111069741B CN111069741B CN201911374117.5A CN201911374117A CN111069741B CN 111069741 B CN111069741 B CN 111069741B CN 201911374117 A CN201911374117 A CN 201911374117A CN 111069741 B CN111069741 B CN 111069741B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K9/00—Arc welding or cutting
- B23K9/12—Automatic feeding or moving of electrodes or work for spot or seam welding or cutting
- B23K9/133—Means for feeding electrodes, e.g. drums, rolls, motors
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K9/00—Arc welding or cutting
- B23K9/16—Arc welding or cutting making use of shielding gas
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K9/00—Arc welding or cutting
- B23K9/24—Features related to electrodes
- B23K9/28—Supporting devices for electrodes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K9/00—Arc welding or cutting
- B23K9/32—Accessories
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/04—Construction or manufacture in general
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/50—Manufacturing or production processes characterised by the final manufactured product
Abstract
The invention belongs to the technical field of welding, and discloses a welding turnover feeding mechanism and lithium battery welding equipment thereof. According to the invention, a cloud service system utilizes a cloud platform server to establish a big data storage and intelligent rule base, a main theory of dynamic resistance control is adopted to carry out welding self-adaptive control, and an optimized welding process evaluation and energy control thought are added, so that comprehensive guidance, process monitoring and quality control are carried out on welding quality controlled by a DSP (digital signal processor), and the welding efficiency is improved; meanwhile, the welding data analysis system realizes the self-contrast analysis and evaluation of the parameter characteristic quantities at different time periods in the welding process; quantitative 'mutual comparison' and evaluation of differences of different welding processes are realized.
Description
Technical Field
The invention belongs to the technical field of welding, and particularly relates to a welding turnover feeding mechanism and lithium battery welding equipment thereof.
Background
Welding, also known as fusion, is a manufacturing process and technique for joining metals or other thermoplastic materials, such as plastics, by means of heat, high temperature or pressure. Welding accomplishes the purpose of joining by three ways: fusion welding, namely heating the workpieces to be jointed to locally melt the workpieces to form a molten pool, cooling and solidifying the molten pool to joint the workpieces, and adding a melt filler to assist when necessary, so that the method is suitable for welding various metals and alloys without pressure. Pressure welding, in which pressure must be applied to a welding piece in a welding process, belongs to the processing of various metal materials and partial metal materials. Brazing, namely, a metal material with a melting point lower than that of the base metal is used as brazing filler metal, the liquid brazing filler metal is used for wetting the base metal, a joint gap is filled, and the liquid brazing filler metal and the base metal are mutually diffused to realize a link weldment. It is suitable for welding various materials, and also suitable for welding different metals or different materials. The energy sources for modern welding are many, including gas flame, electric arc, laser, electron beam, friction, and ultrasonic, among others. In addition to use in a factory, welding can be performed in a variety of environments, such as the field, underwater, and space. Wherever welding can be dangerous for the operator, appropriate precautions must be taken while welding is being performed. The possible injuries to human body caused by welding include burn, electric shock, visual impairment, toxic gas inhalation, over-irradiation of ultraviolet rays, etc. However, the existing welding equipment lacks intelligent adaptation and support guidance of network big data, and welding efficiency is low; meanwhile, in the actual welding process, a plurality of welding working condition parameters have certain random influence on the final welding result, and the existing welding can not comprehensively analyze the welding parameters, so that the welding process quality is poor.
In summary, the problems of the prior art are as follows:
the existing welding equipment lacks intelligent adaptation and support guidance of network big data, and has low welding efficiency; meanwhile, in the actual welding process, a plurality of welding working condition parameters have certain random influence on the final welding result, and the existing welding can not comprehensively analyze the welding parameters, so that the welding process quality is poor.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a welding turnover feeding mechanism and lithium battery welding equipment thereof.
The invention is realized in this way, a welding turnover feeding mechanism and lithium battery welding equipment thereof includes:
the welding system comprises a power supply system, an angle acquisition system, a temperature acquisition system, a master control system, a turnover system, a regulation and control system, a welding system, a cloud service system, a welding data analysis system and a display system.
And the power supply system is connected with the master control system and used for supplying power for welding through the lithium battery.
And the angle acquisition system is connected with the master control system and used for acquiring the turnover angle of the part through the angle sensor.
And the temperature acquisition system is connected with the master control system and used for acquiring welding temperature data through the temperature sensor.
And the main control system is connected with the power supply system, the angle acquisition system, the temperature acquisition system, the turnover system, the regulation and control system, the welding system, the cloud service system, the welding data analysis system and the display system and is used for controlling each system to normally work through the DSP controller.
And the overturning system is connected with the main control system and used for overturning the part by connecting the rotating shaft through the motor.
And the regulating system is connected with the main control system and used for regulating and controlling the turning angle through the motor regulator.
And the welding system is connected with the main control system and is used for carrying out welding operation on the parts through the welding head.
And the cloud service system is connected with the master control system and used for processing the welding service data through the cloud server.
And the welding data analysis system is connected with the main control system and is used for analyzing the welding data through an analysis program.
And the display system is connected with the main control system and used for displaying the acquired part turnover angle and welding temperature data through a display.
Further, the method for processing the welding service data by the cloud service system comprises the following steps:
(1) the method comprises the steps of connecting a DSP controller with a cloud platform server in a communication mode through a master control system, and submitting a welding service request to a cloud platform, wherein the welding service request carries a requested DSP controller device information identifier.
(2) And the cloud platform server forwards the service request to a self-adaptive welding service processing device deployed on a cloud platform.
(3) And the adaptive welding software business processing system of the adaptive welding intelligent processing device executes the requested welding logic and transmits the welding rule obtained after processing back to the DSP controller through the platform server.
(4) And the DSP controller executes operation after receiving the welding logic rule to complete welding operation, and sends an execution result to the cloud platform.
Further, the adaptive welding software business processing system includes a welding data monitoring step for controlling welding quality by monitoring real-time resistance of CE segment in a curve of change of resistance value with time during welding process when executing welding logic, comprising:
the current sensor integrated in the transformer measures a secondary current signal, a voltage measuring sensing cable arranged between the upper electrode and the lower electrode of the welding tongs measures the secondary voltage signal, and the real-time resistance in the welding process is calculated according to ohm's law.
And in the constant-current mode, welding a metal plate to be welded by a certain welding machine, and storing a dynamic resistance curve obtained by monitoring in the welding process as a sample reference curve in a controller after the detection result reaches a quality standard.
In the actual welding process, the control adjustment amount is calculated by comparing and calculating the monitored real-time dynamic resistance with the reference resistance on the basis of the parameters of the sample reference curve, and the purpose of controlling the quality of the welding spot is achieved by adjusting the welding current in real time.
Further, the adaptive welding software business processing system when executing the welding logic also includes a welding energy control step for calculating and controlling the energy of the whole welding process before the welding is finished.
Welding energy, which is calculated by joule's law:
Q＝I2Rt。
wherein Q is the generated heat, unit: joule, I is welding current, unit: ampere, R is the workpiece resistance, unit: ohm, t is the energization time, unit: and second.
The control process of welding energy comprises the following steps: and in the welding process, calculating and monitoring the welding energy in real time, judging that the welding is abnormal when the welding time does not reach the time of the standard sample and the welding energy obviously exceeds the time of the standard sample, stopping the welding process, recording parameters or giving an alarm, and prolonging the welding time to enable the final welding energy to be matched with the standard sample when the welding time reaches the time of the standard sample and the welding energy is obviously insufficient.
Further, the analysis method of the welding data analysis system is as follows:
1) physical quantity related to time of an actual welding process and parameter information of each working condition of the welding process are collected and detected in real time through welding detection equipment.
2) And (4) obtaining the characteristic quantity related to the welding quality in the welding process by using the detected related physical quantity and working condition parameter information and an engineering calculation method specified by the installation industry.
3) And carrying out online calculation analysis on the characteristic quantity related to the welding quality, carrying out comprehensive and quantitative evaluation on the welding process according to the calculation result, and displaying the result related to the welding physical process and the welding quality in an online manner in a data and graph mode.
Further, the relevant physical quantities related to time in step 1) include energy input, welding speed and wire feeding speed of the welding process. The parameter information of each working condition in the welding process comprises a welding method, a welding wire material type, a welding wire diameter, a protective gas and nonstandard data of a user.
Further, the important characteristic quantities in the step 2) comprise the linear energy of the welding process, the cladding rate and the stability of the welding process of the weld metal, the excessive uniformity of the welding material metal and the adaptability of the welding power supply to the welding process.
Further, the calculation and analysis method of the welding process linear energy comprises an effective energy input coefficient eta, an arc voltage U, a welding current I and a welding speed v according to different welding methods, and a welding linear energy calculation formula
And calculating the energy Q of the outgoing line.
The calculation and analysis method of the weld metal cladding rate comprises the following steps of calculating the formula of the cladding rate (D/20) according to the specific gravity D of a welding material, the diameter D of a welding wire, the wire feeding speed V and the weld metal cladding rate2Obtaining the cladding rate by multiplying V.
The invention also aims to provide a welding turnover feeding mechanism and a control method of lithium battery welding equipment thereof, which comprise the following steps:
step one, supplying power for welding through a lithium battery. Collecting the overturning angle of the part through an angle sensor; welding temperature data is collected through a temperature sensor.
And step two, controlling each system to normally work through the DSP controller.
And step three, connecting the rotating shaft through a motor to turn over the part. The turning angle is regulated and controlled by a motor regulator. And carrying out welding operation on the parts through the welding head. And processing the welding service data through the cloud server. The welding data is analyzed by an analysis program.
And step four, displaying the acquired part turning angle and welding temperature data through a display.
Further, in the step three-way motor controller regulation and control rotation angle, specifically include:
(1) high frequency components of the inverted signal are extracted.
(2) The high-frequency component throughput is calculated.
(3) Judging the turning type and selecting the phase.
(4) The flip feature is constructed.
(5) And carrying out overturning judgment according to the overturning characteristic.
Only the high-frequency component of the turning signal needs to be extracted from any moment of the rotating shaft. Before constructing the turning characteristic, calculating a turning initial angle and a transition resistance, and calculating the high-frequency component handling capacity according to the turning initial angle and the transition resistance to obtain the calculated high-frequency component handling capacity; and monitoring the initial turning traveling wave direction at the protection installation position. Combining the initial turning traveling wave direction and the reduced high-frequency component processing amount to construct a turning characteristic; and judging the region where the turnover is located according to the turnover characteristics.
Regulating and controlling the turning angle through the motor regulator further comprises:
And 2, calculating the high-frequency component processing amount.
And 3, judging the turning type and turning phase selection.
And 4, calculating the initial overturning angle and the transition resistance.
And 5, carrying out reduction on the high-frequency component processing amount according to the initial overturning angle and the transition resistance to obtain the reduced high-frequency component processing amount.
And 6, monitoring the initial turning traveling wave direction at the protection installation position.
And 7, combining the initial turning traveling wave direction and the reduced high-frequency component processing amount to construct a turning characteristic.
And 8, turning judgment is carried out according to turning characteristics: and judging whether the overturning occurs on the protected rotating shaft, the protected area or outside the protected area.
The high-frequency component processing amount is one of the energy, or entropy, or signal complexity, or signal singularity, or modulus maximum, or Lee's index, or instantaneous amplitude integral, or instantaneous amplitude summation, or instantaneous amplitude, or singular value of the high-frequency component of the turnover signal.
The invention also aims to provide an information data processing terminal for realizing the welding turnover feeding mechanism and the control method of the lithium battery welding equipment.
Another object of the present invention is to provide a computer-readable storage medium, which includes instructions that, when executed on a computer, cause the computer to execute the welding flip feeding mechanism and the control method of the lithium battery welding device.
The invention has the advantages and positive effects that:
according to the invention, a cloud service system utilizes a cloud platform server to establish a big data storage and intelligent rule base, a main theory of dynamic resistance control is adopted to carry out welding self-adaptive control, and an optimized welding process evaluation and energy control thought are added, so that comprehensive guidance, process monitoring and quality control are carried out on welding quality controlled by a DSP (digital signal processor), and the welding efficiency is improved; meanwhile, various information of welding conditions is input through a welding data analysis system and is integrated with parameters of an actual welding process, so that online calculation and analysis of various characteristic quantities of different welding processes, welding process linear energy, welding material fusion covering rate, welding process stability and the like are realized, and the characteristic quantities of the welding processes are visible, commendable, memorable and traceable under a human-computer interaction environment; the self-contrast analysis and evaluation of parameter characteristic quantities at different time periods in the welding process are realized; quantitative 'mutual comparison' and evaluation of differences in different welding processes are realized; the method quantitatively expresses 'small probability' random information generated in the welding process and corresponding phenomena and sources thereof, provides the degree of influence on the welding process and a basis for how to adjust (optimize), and promotes the conventional small sample spot check method into the integral analysis of the whole welding process information.
In the invention, the turning angle is regulated and controlled by the motor regulator, and the following steps are carried out: (1) high frequency components of the inverted signal are extracted.
(2) The high-frequency component throughput is calculated.
(3) Judging the turning type and selecting the phase.
(4) The flip feature is constructed.
(5) And carrying out overturning judgment according to the overturning characteristic.
Only the high-frequency component of the turning signal needs to be extracted from any moment of the rotating shaft. Before constructing the turning characteristic, calculating a turning initial angle and a transition resistance, and calculating the high-frequency component handling capacity according to the turning initial angle and the transition resistance to obtain the calculated high-frequency component handling capacity; and monitoring the initial turning traveling wave direction at the protection installation position. Combining the initial turning traveling wave direction and the reduced high-frequency component processing amount to construct a turning characteristic; and judging the region where the turnover is located according to the turnover characteristics. The running state can be accurately controlled.
Drawings
Fig. 1 is a structural block diagram of a welding turnover feeding mechanism and a lithium battery welding device thereof according to an embodiment of the present invention. Fig. 2 is a flowchart of a welding turnover feeding mechanism and a control method of a lithium battery welding device thereof according to an embodiment of the present invention.
In the figure: 1. a power supply system; 2. an angle acquisition system; 3. a temperature acquisition system; 4. a master control system; 5. A turnover system; 6. a regulation system; 7. a welding system; 8. a cloud service system; 9. a welding data analysis system; 10. a display system.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The existing welding equipment lacks intelligent adaptation and support guidance of network big data, and has low welding efficiency; meanwhile, in the actual welding process, a plurality of welding working condition parameters have certain random influence on the final welding result, and the existing welding can not comprehensively analyze the welding parameters, so that the welding process quality is poor.
To solve the above problems, the present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the welding turnover feeding mechanism and the lithium battery welding device thereof provided by the embodiment of the invention include: the welding system comprises a power supply system 1, an angle acquisition system 2, a temperature acquisition system 3, a master control system 4, a turnover system 5, a regulation and control system 6, a welding system 7, a cloud service system 8, a welding data analysis system 9 and a display system 10.
The power supply system 1 is connected with the master control system 4 and used for supplying power for welding through a lithium battery;
the angle acquisition system 2 is connected with the main control system 4 and is used for acquiring the turnover angle of the part through an angle sensor;
the temperature acquisition system 3 is connected with the main control system 4 and is used for acquiring welding temperature data through a temperature sensor;
the main control system 4 is connected with the power supply system 1, the angle acquisition system 2, the temperature acquisition system 3, the turnover system 5, the regulation and control system 6, the welding system 7, the cloud service system 8, the welding data analysis system 9 and the display system 10, and is used for controlling each system to normally work through the DSP controller;
the overturning system 5 is connected with the main control system 4 and is used for overturning the part by connecting the rotating shaft through the motor;
the adjusting and controlling system 6 is connected with the main control system 4 and is used for adjusting and controlling the overturning angle through a motor adjuster;
the welding system 7 is connected with the main control system 4 and is used for welding parts through a welding head;
the cloud service system 8 is connected with the main control system 4 and used for processing the welding service data through a cloud server;
the welding data analysis system 9 is connected with the main control system 4 and used for analyzing the welding data through an analysis program;
and the display system 10 is connected with the main control system 4 and is used for displaying the acquired part turnover angle and welding temperature data through a display.
The invention is further described with reference to specific examples.
Example 1
The method for processing the welding service data by the cloud service system 8 provided by the invention comprises the following steps:
(1) the method comprises the steps that a DSP controller is in communication connection with a cloud platform server through a master control system, and a welding service request is submitted to a cloud platform, wherein the welding service request carries a requested DSP controller device information identifier;
(2) the cloud platform server forwards the service request to a self-adaptive welding service processing device deployed on a cloud platform;
(3) the adaptive welding software business processing system of the adaptive welding intelligent processing device executes the requested welding logic and transmits the welding rule obtained after processing back to the DSP controller through the platform server;
(4) and the DSP controller executes operation after receiving the welding logic rule to complete welding operation, and sends an execution result to the cloud platform.
The invention provides a self-adaptive welding software business processing system, which comprises a welding data monitoring step when executing welding logic, is used for controlling the welding quality by monitoring the real-time resistance of a CE section in a variation curve of a resistance value along with time in the welding process, and comprises the following steps:
measuring a secondary current signal by a current sensor integrated in the transformer, measuring by a voltage measuring sensing cable arranged between an upper electrode and a lower electrode of the welding tongs to obtain a secondary voltage signal, and calculating real-time resistance in the welding process according to ohm's law;
under a constant current mode, welding a metal plate to be welded by a certain welding machine, and storing a dynamic resistance curve obtained by monitoring in the welding process as a sample reference curve in a controller after the detection result reaches a quality standard;
in the actual welding process, the control adjustment amount is calculated by comparing and calculating the monitored real-time dynamic resistance with the reference resistance on the basis of the parameters of the sample reference curve, and the purpose of controlling the quality of the welding spot is achieved by adjusting the welding current in real time.
The self-adaptive welding software business processing system provided by the invention also comprises a welding energy control step when executing welding logic, wherein the welding energy control step is used for calculating and controlling the energy of the whole welding process before the welding is finished;
welding energy, which is calculated by joule's law:
Q＝I2Rt；
wherein Q is the generated heat, unit: joule, I is welding current, unit: ampere, R is the workpiece resistance, unit: ohm, t is the energization time, unit: second;
the control process of welding energy comprises the following steps: and in the welding process, calculating and monitoring the welding energy in real time, judging that the welding is abnormal when the welding time does not reach the time of the standard sample and the welding energy obviously exceeds the time of the standard sample, stopping the welding process, recording parameters or giving an alarm, and prolonging the welding time to enable the final welding energy to be matched with the standard sample when the welding time reaches the time of the standard sample and the welding energy is obviously insufficient.
Example 2
The analysis method of the welding data analysis system 9 provided by the invention is as follows:
1) acquiring and detecting physical quantity related to time in an actual welding process and parameter information of each working condition in the welding process in real time through welding detection equipment;
2) mounting the detected related physical quantity and working condition parameter information by an industry-specified engineering calculation method to obtain characteristic quantity related to welding quality in the welding process;
3) and carrying out online calculation analysis on the characteristic quantity related to the welding quality, carrying out comprehensive and quantitative evaluation on the welding process according to the calculation result, and displaying the result related to the welding physical process and the welding quality in an online manner in a data and graph mode.
The invention provides that the relevant physical quantities related to time in the step 1) comprise energy input, welding speed and wire feeding speed of the welding process; the parameter information of each working condition in the welding process comprises a welding method, a welding wire material type, a welding wire diameter, a protective gas and nonstandard data of a user.
The important characteristic quantities in the step 2) provided by the invention comprise the linear energy of the welding process, the cladding rate and the stability of the welding process of the weld metal, the excessive uniformity of the welding material metal and the adaptability of a welding power supply to the welding process.
The invention provides a welding process linear energy, and a calculation and analysis method thereof comprises the steps of inputting effective coefficients eta, arc voltage U, welding current I and welding speed v according to the energy of different welding methods, and a welding linear energy calculation formula
Calculating the outgoing line energy Q;
the calculation and analysis method of the weld metal cladding rate comprises the following steps of calculating the formula of the cladding rate (D/20) according to the specific gravity D of a welding material, the diameter D of a welding wire, the wire feeding speed V and the weld metal cladding rate2Obtaining the cladding rate by multiplying V.
Example 3
As shown in fig. 2, the welding turnover feeding mechanism and the control method of the lithium battery welding device thereof provided by the embodiment of the invention include:
s101, the power supply system 1 is connected with a master control system 4 and used for supplying power for welding through a lithium battery; the part turnover angle acquisition system is connected with the main control system 4 through the angle acquisition system 2 and is used for acquiring the turnover angle of the part through the angle sensor; the temperature acquisition system 3 is connected with the main control system 4 and used for acquiring welding temperature data through the temperature sensor.
And S102, the welding system is connected with the power supply system 1, the angle acquisition system 2, the temperature acquisition system 3, the turnover system 5, the regulation and control system 6, the welding system 7, the cloud service system 8, the welding data analysis system 9 and the display system 10 through the master control system 4, and is used for controlling each system to normally work through the DSP controller.
S103, the turnover system 5 is connected with the main control system 4 and used for turning over the parts through the motor connecting rotating shaft; the turnover angle is regulated and controlled by a motor regulator through a regulation and control system 6 which is connected with the main control system 4; the welding system 7 is connected with the main control system 4 and is used for welding parts through a welding head; the system is connected with the main control system 4 through a cloud service system 8 and used for processing welding service data through a cloud server; and the welding data analysis system 9 is connected with the main control system 4 and used for analyzing the welding data through an analysis program.
And S104, the welding device is connected with the main control system 4 through the display system 10 and used for displaying the collected part turnover angle and welding temperature data through a display.
Example 4
The invention relates to a method for regulating and controlling the turning angle through a motor regulator, which specifically comprises the following steps:
(1) high frequency components of the inverted signal are extracted.
(2) The high-frequency component throughput is calculated.
(3) Judging the turning type and selecting the phase.
(4) The flip feature is constructed.
(5) And carrying out overturning judgment according to the overturning characteristic.
Only the high-frequency component of the turning signal is extracted from any moment of the rotating shaft; before constructing the turning characteristic, calculating a turning initial angle and a transition resistance, and calculating the high-frequency component handling capacity according to the turning initial angle and the transition resistance to obtain the calculated high-frequency component handling capacity; monitoring the direction of the initial overturning traveling wave at the protection installation position; combining the initial turning traveling wave direction and the reduced high-frequency component processing amount to construct a turning characteristic; judging the region where the turnover is located according to the turnover characteristics;
regulating and controlling the turning angle through the motor regulator further comprises:
And 2, calculating the high-frequency component processing amount.
And 3, judging the turning type and turning phase selection.
And 4, calculating the initial overturning angle and the transition resistance.
And 5, carrying out reduction on the high-frequency component processing amount according to the initial overturning angle and the transition resistance to obtain the reduced high-frequency component processing amount.
And 6, monitoring the initial turning traveling wave direction at the protection installation position.
And 7, combining the initial turning traveling wave direction and the reduced high-frequency component processing amount to construct a turning characteristic.
And 8, turning judgment is carried out according to turning characteristics: and judging whether the overturning occurs on the protected rotating shaft, the protected area or outside the protected area.
The high-frequency component processing amount is one of the energy, or entropy, or signal complexity, or signal singularity, or modulus maximum, or Lee's index, or instantaneous amplitude integral, or instantaneous amplitude summation, or instantaneous amplitude, or singular value of the high-frequency component of the turnover signal.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (7)
1. The utility model provides a lithium battery welding equipment which characterized in that, lithium battery welding equipment includes:
the main control system is used for controlling each system to normally work through the DSP controller;
the cloud service system is connected with the master control system and used for processing the welding service data through the cloud platform server; the method comprises the steps that a DSP controller is in communication connection with a cloud platform server through a master control system, and a welding service request is submitted to a cloud platform, wherein the welding service request carries a requested DSP controller device information identifier; the cloud platform server forwards the welding service request to a self-adaptive welding intelligent processing device deployed on a cloud platform; the self-adaptive welding software business processing system of the self-adaptive welding intelligent processing device executes the requested welding logic and transmits the welding logic rule obtained after processing back to the DSP controller through the cloud platform server; the DSP controller executes operation after receiving the welding logic rule to complete welding operation, and sends an execution result to the cloud platform;
the welding data analysis system is connected with the main control system and used for analyzing the welding data through an analysis program; acquiring and detecting physical quantity related to time in an actual welding process and parameter information of each working condition in the welding process in real time through welding detection equipment; obtaining the characteristic quantity related to welding quality in the welding process according to the detected physical quantity and working condition parameter information by an engineering calculation method specified by the industry; carrying out on-line calculation analysis on the characteristic quantity related to the welding quality, carrying out comprehensive and quantitative evaluation on the welding process according to the calculation result, and displaying the result related to the welding physical process and the welding quality on line in a data and graph mode;
the display system is connected with the main control system and used for displaying the collected part turnover angle and welding temperature data through a display;
the adaptive welding software business processing system further comprises:
the power supply system is connected with the master control system and used for supplying power for welding through the lithium battery;
the angle acquisition system is connected with the main control system and used for acquiring the turnover angle of the part through the angle sensor;
the temperature acquisition system is connected with the master control system and is used for acquiring welding temperature data through the temperature sensor;
the overturning system is connected with the main control system and is used for overturning the part by connecting the rotating shaft with the motor;
the regulating system is connected with the main control system and is used for regulating and controlling the overturning angle through the motor regulator;
the welding system is connected with the main control system and is used for welding the parts through the welding head;
the adaptive welding software business processing system includes a welding data monitoring step when executing the requested welding logic, and the welding data monitoring step is used for controlling the welding quality by monitoring the real-time resistance of a CE section in a curve of the change of the resistance value along with the time in the welding process, and comprises the following steps:
measuring a secondary current signal by a current sensor integrated in the transformer, measuring by a voltage measuring sensing cable arranged between an upper electrode and a lower electrode of the welding tongs to obtain a secondary voltage signal, and calculating real-time resistance in the welding process according to ohm's law;
in a constant current mode, welding a metal plate to be welded by a certain welding machine, and storing a dynamic resistance curve obtained by monitoring in the welding process as a sample reference curve in a DSP controller after the detection reaches a quality standard;
in the actual welding process, the control adjustment amount is calculated by comparing and calculating the monitored real-time dynamic resistance with the reference resistance on the basis of the parameters of the sample reference curve, and the purpose of controlling the quality of the welding spot is achieved by adjusting the welding current in real time.
2. The lithium battery welding device as claimed in claim 1, wherein the adaptive welding software business processing system when executing the requested welding logic further comprises a welding energy control step for calculating and controlling the energy of the entire welding process before the end of welding;
welding energy, which is calculated by joule's law:
Q＝I2Rt；
wherein Q is the generated heat, unit: joule, I is welding current, unit: ampere, R is the workpiece resistance, unit: ohm, t is the energization time, unit: second;
the control process of welding energy comprises the following steps: and in the welding process, calculating and monitoring the welding energy in real time, judging that the welding is abnormal when the welding time does not reach the time of the standard sample and the welding energy obviously exceeds the energy of the standard sample, terminating the welding process and recording parameters or giving an alarm, and prolonging the welding time to enable the final welding energy to be matched with the energy of the standard sample when the welding time reaches the time of the standard sample and the welding energy is obviously insufficient.
3. The lithium battery welding apparatus as set forth in claim 1,
the time-dependent physical quantities comprise energy input, welding speed and wire feed speed of the welding process; the parameter information of each working condition in the welding process comprises a welding method, a welding wire material type, a welding wire diameter, a protective gas and nonstandard data of a user.
4. The lithium battery welding apparatus as claimed in claim 1, wherein the characteristic quantity related to the welding quality includes a welding process line energy, a cladding rate and a welding process stability of a weld metal, a uniformity of an excess weld metal, and an adaptability of a welding power source to a welding process.
5. The lithium battery welding apparatus as claimed in claim 4, wherein the welding process line energy, the calculation and analysis method thereof includes an effective coefficient η of energy input, an arc voltage U, a welding current I and a welding speed v according to different welding methods, and a welding line energy calculation formula
Calculating the outgoing line energy Q;
the calculation and analysis method of the cladding rate of the weld metal comprises the following steps of calculating the cladding rate of the weld metal according to the specific gravity D of a welding material, the diameter D of a welding wire, the wire feeding speed V and the cladding rate of the weld metal, wherein the formula is D multiplied by 3.14 multiplied (D/20)2Obtaining the cladding rate by multiplying V.
6. A control method of a lithium battery welding apparatus as set forth in claim 1, wherein the control method of the lithium battery welding apparatus comprises the steps of:
step one, supplying power for welding through a lithium battery; collecting the overturning angle of the part through an angle sensor; collecting welding temperature data through a temperature sensor;
step two, controlling each system to work normally through the DSP controller;
thirdly, turning the part through connecting the rotating shaft by the motor; the turning angle is regulated and controlled by a motor regulator; welding the parts through the welding head; processing the welding service data through a cloud platform server; analyzing the welding data through an analysis program;
and step four, displaying the acquired part turning angle and welding temperature data through a display.
7. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the control method of a lithium battery welding apparatus according to claim 6.
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