Method and system for automatically measuring and controlling parameters of driver of magnetic control vacuum circuit breaker

Abstract

The invention relates to the field of power equipment control, and discloses a magnetic control vacuum circuit breaker driver parameter automatic measurement and control method and a magnetic control vacuum circuit breaker driver parameter automatic measurement and control system, and the method realizes closed loop iteration optimization of driving parameters through a collaborative process of hardware initialization, manual preliminary test, automatic measurement and control program and result display and storage. The method specifically comprises the following steps: verifying basic functions of the magnetic control mechanism and calibrating initial parameters in a manual test stage; in an automatic measurement and control program, critical pulse duration is tested and calibrated through parameter decline, and residual magnetism interference is eliminated in combination with residual magnetism dynamic monitoring and reverse demagnetization control; and carrying out closed-loop optimization, and outputting optimal parameters meeting the action time stability, the residual magnetism controllability and the contact reliability of the contact. The problems that traditional debugging depends on experience, residual magnetism accumulation causes performance degradation and insufficient multi-working-condition adaptability are solved, the efficiency and precision of parameter adjustment and calibration of the magnetic control mechanism are remarkably improved, and a high-reliability driving control scheme is provided for intelligent power grid equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment control, and specifically to a method and system for automatically measuring and controlling the parameters of a magnetically controlled vacuum circuit breaker driver. Background Art

[0002] As a key device in the smart grid, the accurate adjustment of the driving parameters of a magnetically controlled vacuum circuit breaker directly affects the reliability and service life of the opening and closing operations. Traditional debugging methods mainly rely on manual experience combined with the trial-and-error method. By manually adjusting the pulse parameters multiple times and observing the mechanical action effect, there are problems such as a long debugging cycle and poor consistency. Especially in the magnetic control mechanism, the remanence effect of the iron core material easily leads to action lag or abnormal reset, and the existing technology has insufficient means for monitoring and controlling remanence. Often, redundant pulse duration is reserved to offset the influence of remanence, resulting in increased energy consumption and aggravated contact wear.

[0003] In addition, due to the complexity of the power grid operation environment, the magnetic control mechanism needs to adapt to power supply scenarios of different voltage levels, and the traditional parameter solidification mode is difficult to dynamically adapt to voltage fluctuations, resulting in a risk of action failure in low voltage or voltage dip situations. Although some solutions introduce an automated test module, the parameter optimization process lacks a systematic closed-loop verification mechanism, and the comprehensive evaluation of multi-dimensional data (such as remanence distribution, contact resistance) is insufficient, making it difficult to balance the contradiction between action speed and stability.

[0004] Therefore, there is an urgent need for a measurement and control method that integrates closed-loop control of remanence, dynamic parameter adaptation, and compatibility with multiple working conditions to improve the intelligent debugging level and operation reliability of magnetically controlled vacuum circuit breakers. Summary of the Invention

[0005] Aiming at the deficiencies of the existing technology, the present invention provides a method and system for automatically measuring and controlling the parameters of a magnetically controlled vacuum circuit breaker driver, which solves the technical problems of the traditional magnetic control mechanism's dependence on manual experience for driving parameter debugging, the reduction of action reliability caused by the remanence effect, and the insufficient parameter adaptation ability in multi-voltage scenarios.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for automatically measuring and controlling the parameters of a magnetically controlled vacuum circuit breaker driver includes the following steps: Step 1, hardware initialization: Connect the power supply module, control module, drive module, and magnetic sensor module, start the power supply and select the test mode; Step 2, manual preliminary test: Set the initial drive parameters and perform manual opening / closing operations to verify the basic functions of the magnetic control mechanism; Step 3, execute the automatic measurement and control program: Execute multiple normal opening / closing operations to evaluate stability; Gradually adjust the opening and closing pulse durations until the operation is abnormal, and record the critical parameters; Monitor the residual magnetism direction and magnitude in real time, and dynamically adjust the driving parameters to meet the residual magnetism requirements; Optimize the parameters through multiple rounds of closed-loop testing and iteration; Step 4, result display and storage: Output the optimal driving parameters and store the test data.

[0007] Preferably, the test modes in step 1 include: Analog switch test mode: Simulate the real switch working condition by installing the final voltage contact spring and the opening spring; Real switch test mode: Connect the actual magnetron vacuum circuit breaker directly for testing.

[0008] Preferably, the initial driving parameters in step 2 include: Initial voltage value; Initial closing pulse duration and opening pulse duration.

[0009] Preferably, the specific operation of gradually adjusting the opening and closing pulse durations in step 3 is: Decrease the closing pulse duration in preset steps and conduct multiple closing tests until abnormal operation occurs; Decrease the opening pulse duration in preset steps and conduct multiple opening tests until abnormal operation occurs.

[0010] Preferably, the real-time monitoring of the residual magnetism direction and magnitude in step 3 includes: Collect residual magnetism data through a magnetic sensor and judge whether the residual magnetism direction is the positive direction; If the residual magnetism direction is not positive or the magnitude exceeds the preset threshold, automatically adjust the driving parameters and retest.

[0011] Preferably, the ways of dynamically adjusting the driving parameters in step 3 include at least one of the following: Adjust the closing or opening pulse duration; Switch the output voltage of the power supply module; Modify the iteration rounds of the closed-loop test.

[0012] Preferably, the multiple rounds of closed-loop testing in step 3 include: Set the preset test rounds; Fine-tune the driving parameters based on the results of the previous round of testing for each round of testing.

[0013] Preferably, the optimal driving parameters in step 4 are determined by the following method: Perform data fitting calculation based on the critical parameters, residual magnetism range and stability index; Select the parameter combination with the optimal comprehensive performance in combination with the iteration results of multiple rounds of closed-loop testing.

[0014] Preferably, it also includes multi-voltage mode testing: Switch the output of the power supply module to different voltage values; Independently execute the measurement and control process from Step 2 to Step 4 for each voltage value to obtain the corresponding optimal parameters.

[0015] The present invention also provides an automatic measurement and control system for the parameters of a magnetron vacuum circuit breaker driver, including: A power supply module for providing multi-voltage output and supporting dynamic switching; A control module for coordinating the test process, issuing control instructions, and processing data; A drive module for generating a drive signal with an adjustable pulse duration according to the instructions of the control module; A magnetic sensor module for real-time monitoring of the residual magnetic direction and magnitude of the magnetron mechanism; A display module for visualizing test data and optimal parameters; A data storage module for storing test process data and optimization results.

[0016] The present invention provides an automatic measurement and control method and system for the parameters of a magnetron vacuum circuit breaker driver, having the following beneficial effects: 1. Through phased parameter-decreasing tests and multiple rounds of closed-loop optimization, the present invention can automatically approach the optimal drive parameter combination of the magnetron mechanism, significantly reducing the manual trial-and-error cost. At the same time, it ensures the systematicness and scientific nature of the parameter adjustment process, avoiding debugging deviations caused by experience dependence.

[0017] 2. By real-time monitoring of the residual magnetic direction and intensity and combining with the dynamic degaussing pulse generation mechanism, the present invention can actively eliminate the residual reverse magnetism, reduce malfunction or mechanical wear caused by residual magnetism accumulation, thereby improving the long-term operation stability and lifespan of the magnetron vacuum circuit breaker.

[0018] 3. Through independent measurement and control processes and parameter mapping storage in the multi-voltage mode, the present invention supports rapid parameter switching of the magnetron mechanism under different supply voltages, enabling it to adapt to power grid voltage fluctuations or diverse application scenarios, and broadening the deployment scope of the device.

[0019] 4. From the classification storage and visual presentation of the original test data to the optimization results, the present invention constructs a complete test data management system, facilitating subsequent fault analysis, parameter backtracking, and performance optimization, providing a reliable data basis for equipment maintenance and upgrade.

[0020] 5. Through the abnormal prompt in the manual test stage and the fault tolerance mechanism of the automatic measurement and control program, the present invention realizes the risk warning and rapid intervention at key operation nodes, ensuring the safety of the test process and reducing the technical threshold of the operator through the interactive interface. Description of the Drawings

[0021] Figure 1 One of the schematic flowcharts of the method of the present invention; Figure 2 Two of the schematic flowcharts of the method of the present invention; Figure 3 Schematic structural diagram of the system of the present invention. Specific embodiments

[0022] Next, in conjunction with the accompanying drawings of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0023] Please refer to the attached Figure 1 - attached Figure 2 , the present invention provides a method for automatically measuring and controlling the parameters of a magnetron vacuum circuit breaker driver. Through software and hardware collaborative control and a closed-loop optimization mechanism, automatic testing and dynamic adaptation of the driving parameters of the magnetron mechanism are realized. The specific implementation steps of this method are as follows: S1. Hardware initialization step; S2. Manual preliminary testing step; S3. Execute the automatic measurement and control program step; S4. Result display and storage step.

[0024] The following is a detailed description of each step in the method of the present invention, comprehensively elaborating on the specific implementation principles, technical details, and processes of each step.

[0025] For step S1, in this embodiment, the hardware initialization step is used to build a stable and reliable hardware basic environment for the subsequent measurement and control process, which is specifically realized through modular connection, test mode selection, and power dynamic configuration.

[0026] During the module connection process, the output end of the power supply module is electrically connected to the power input interface of the drive module to ensure that the output voltage range of the power supply module covers the working requirements of the drive module.

[0027] The drive signal output end of the drive module is connected to the control coil of the magnetron mechanism, and a shielded cable is used to reduce the disturbance of electromagnetic interference to the drive signal.

[0028] The magnetic sensor module is fixedly installed at the key position of the magnetic circuit of the magnetron mechanism, specifically in the magnetic field sensitive area of the moving iron core movement trajectory, and its detection direction is orthogonal to the magnetic field change direction during the operation of the magnetron mechanism to ensure the accuracy of residual magnetic data acquisition.

[0029] The control module is interconnected with the drive module, magnetic sensor module, and display module through a standard communication interface. The communication interface includes, but is not limited to, CAN bus, RS485, or Ethernet protocol, and is used to implement the issuance of control instructions and synchronous data transmission.

[0030] In the test mode selection, two switchable test scenarios are provided: analog switch test mode and real switch test mode.

[0031] In the analog switch test mode, a final pressure contact spring and a tripping spring are installed on the magnetic control mechanism. The final pressure contact spring is used to simulate the final pressure when the contacts of the vacuum circuit breaker are closed, and the tripping spring is used to simulate the mechanical resistance during the tripping operation. At the same time, the movement range of the moving iron core is restricted by an adjustable stroke fixture to reproduce the mechanical working conditions of the actual switch.

[0032] In the real switch test mode, the magnetic control mechanism is mechanically connected to the vacuum interrupter and the circuit breaker body, the electrical compatibility between the drive module and the circuit breaker control circuit is checked, and the installation position of the magnetic sensor module is calibrated to ensure that its detection direction is consistent with the actual magnetic field direction during the opening and closing processes of the circuit breaker.

[0033] During the power startup phase, the power module is turned on and the initial output voltage is set. Preferably, the initial output voltage is set to DC380V. The power module is built-in with a voltage feedback loop, and by monitoring the output voltage fluctuation in real time and adjusting the duty cycle of the power device, it is ensured that the output voltage fluctuation range is less than the preset threshold.

[0034] Furthermore, the power module supports the function of switching between multiple voltage output modes. By sending a voltage switching instruction through the control module, the output voltage value can be dynamically adjusted to adapt to the electrical characteristic test requirements of different magnetic control mechanisms.

[0035] Preferably, the magnetic sensor module adopts a non-contact magnetic field detection scheme, specifically based on the Hall effect or magnetoresistive effect principle. Its range covers the maximum remanent magnetic intensity during the operation of the magnetic control mechanism and has anti-saturation characteristics. During the installation process, the spatial position and angle of the magnetic sensor module are adjusted through a three-dimensional adjustable bracket to make its detection surface perpendicular to the magnetic field line distribution direction of the magnetic control mechanism to maximize the signal acquisition sensitivity.

[0036] Preferably, the control module executes a self-check program during the initialization phase, including: verifying whether the pulse response delay of the drive module is within the allowable range, whether the zero-point drift of the magnetic sensor module is calibrated, and whether the output impedance of the power module matches the load requirements. If the self-check fails, a fault code is output through the display module and the subsequent process is paused until manual intervention eliminates the abnormality.

[0037] Through the above hardware initialization steps, a complete measurement and control hardware system including power supply, signal drive, data acquisition, and human-computer interaction is constructed, providing a highly consistent basic environment for subsequent manual testing and automatic measurement and control programs.

[0038] For step S2, in this embodiment, the manual preliminary test step is used to verify the basic functions of the magnetic control mechanism and the preliminary compatibility of the hardware system, ensuring the reliable execution of subsequent automatic measurement and control programs.

[0039] In the parameter setting stage, initial drive parameters are set through the human-computer interaction interface of the control module. The initial drive parameters include the initial voltage value, the initial closing pulse duration, and the initial opening pulse duration.

[0040] Preferably, the initial voltage value is set to the middle value within the rated working voltage range of the magnetic control mechanism, and the initial closing pulse duration and opening pulse duration are determined based on the theoretical calculation values of the electromagnetic characteristics of the magnetic control mechanism.

[0041] After the parameter setting is completed, the control module sends parameter instructions to the drive module and the power supply module. The drive module generates pulse signals with corresponding durations according to the instructions, and the power supply module outputs a DC voltage matching the set voltage value.

[0042] During the execution of the manual opening / closing operation, the operator triggers the opening or closing instruction through the human-computer interaction interface. After receiving the instruction, the drive module generates a drive current signal with a preset pulse width. The drive current signal is amplified by power and applied to the control coil of the magnetic control mechanism to drive the moving iron core to complete the opening or closing action.

[0043] Preferably, the amplitude of the drive current signal is maintained constant through closed-loop feedback control. Specifically, the current value of the drive circuit is real-time collected by a current sensor and subjected to proportional-integral (PI) adjustment with the set target value to dynamically adjust the conduction duty cycle of the power device to eliminate the current deviation introduced by load changes or line impedance fluctuations.

[0044] In the action verification link, the magnetic field change during the movement of the moving iron core is real-time monitored through the magnetic sensor module. Combining the signals of the position sensor or the mechanical limit switch, it is judged whether the moving iron core completely executes the opening or closing stroke.

[0045] Preferably, if the magnetic sensor is used to indirectly determine the action state, then by analyzing the change curve of the magnetic field intensity over time, the characteristic moments corresponding to the starting point and the ending point of the movement of the moving iron core are extracted, the actual action time is calculated and compared with the expected value. If the actual action time exceeds the preset tolerance range, or the moving iron core does not reach the target position, it is determined that the operation is abnormal.

[0046] During the exception handling process, if the manual test fails, the control module outputs the exception type code and possible fault sources through the display module, such as "insufficient drive current", "abnormal residual magnetism direction", or "mechanical jamming". The operator checks the reliability of the hardware connection, the output stability of the power supply module, or the mechanical structure freedom according to the prompt information, and re-calibrates the installation position of the magnetic sensor module or adjusts the initial drive parameters when necessary.

[0047] Preferably, the exception handling process supports the parameter quick reset function, and restores the drive parameters to the default values through a one-key reset instruction, avoiding test interruption caused by misoperation.

[0048] Preferably, the manual test stage includes multiple alternate operations of opening and closing the switch to verify the thermal stability of the magnetic control mechanism under continuous operation. Specifically, the opening and closing commands are repeatedly triggered at a set time interval, and the temperature rise of the control coil is monitored through a temperature sensor. If the temperature rise rate exceeds the safety threshold, the test is automatically paused and an overheat warning is issued.

[0049] Through the above manual preliminary test steps, it is possible to effectively identify configuration errors, parameter setting inaccuracies, or mechanical assembly defects in the hardware system, providing a reliable initial environment for the execution of subsequent automatic measurement and control programs. At the same time, this step ensures the controllability and intervention ability of the operator for the test process through a human-machine collaborative verification mechanism, avoiding equipment damage or data distortion caused by the blind execution of the automated process.

[0050] For step S3, in this embodiment, the automatic measurement and control program steps achieve the automatic adaptation and performance verification of the drive parameters of the magnetic control mechanism through phased parameter adjustment, residual magnetism dynamic monitoring, and closed-loop iterative optimization, specifically including core links such as stability verification, critical parameter calibration, residual magnetism control, and multi-round optimization.

[0051] In the stability test stage, the control module continuously performs multiple opening and closing operations based on the initial drive parameters, and the interval between each operation is set to the minimum time window sufficient to avoid the influence of coil temperature rise. During the operation, the magnetic field intensity change curve of the full cycle of the moving iron core movement is collected through the magnetic sensor module, and combined with the current waveform feedback by the drive module, the action time consistency of each operation is calculated.

[0052] Preferably, the judgment criterion for the action time consistency is whether the statistical variance is lower than the preset threshold. If it exceeds the threshold, it is determined that the stability is insufficient, and the initial parameters need to be re-calibrated in the manual test stage.

[0053] In the parameter decreasing test stage, a step-by-step adjustment strategy is adopted to gradually approach the critical parameters of the magnetic control mechanism action. For the closing pulse duration, it is decreased in accordance with the preset step size, and multiple closing tests are performed at each adjusted pulse duration, monitoring the contact state of the contact and the signal of the moving iron core in place.

[0054] Preferably, the contact state of the contact is determined by measuring the contact resistance or an optical position sensor. If the contact resistance exceeds the safe range or the moving iron core does not reach the preset position, it is determined that the current pulse duration is the closing critical value and the decrement is terminated. For the opening pulse duration, it is decremented with a finer step size. By monitoring the reset time of the moving iron core and the feedback signal of the opening position sensor, the minimum reliable pulse duration for the opening operation is determined.

[0055] In the residual magnetism evaluation and control stage, the magnetic sensor module continuously collects the residual magnetism data after the opening or closing operation. The data includes the direction and intensity of the residual magnetism. The control module determines whether the direction of the residual magnetism is consistent with the preset working magnetic field direction through the polarity analysis algorithm. If the directions are opposite, a reverse demagnetization pulse sequence is generated to eliminate the reverse residual magnetism.

[0056] Preferably, the amplitude and duration of the reverse demagnetization pulse sequence are dynamically adjusted based on the current residual magnetism intensity, and are specifically determined by the look-up table method or the linear interpolation method. For the residual magnetism intensity, if it exceeds the preset safe threshold range, the parameter adjustment mechanism is automatically triggered, including but not limited to increasing the pulse duration, switching the power supply voltage, or inserting a demagnetization interval, until the residual magnetism intensity returns to the controllable range.

[0057] In the closed-loop test and optimization stage, the control module constructs a parameter optimization model based on the previous test data, and gradually approaches the optimal drive parameter combination through multiple rounds of iteration. In each round of testing, the closing and opening pulse durations are fine-tuned based on the gradient descent method or the genetic algorithm, and the adjustment amplitude is proportional to the deviation degree of the residual magnetism intensity and the action time.

[0058] Preferably, the optimization model introduces a weighted scoring mechanism, comprehensively calculates indicators such as the action time, residual magnetism intensity, and contact resistance according to the preset weights, and selects the parameter combination with the highest score as the optimal solution for the current round. The termination condition of the closed-loop test is set to that the improvement amplitude of the score in multiple consecutive rounds is lower than the set threshold or the maximum number of iteration rounds is reached to ensure the optimization efficiency and convergence.

[0059] Preferably, during the parameter adjustment process, if it is detected that the magnetic control mechanism has continuous operation abnormalities (such as three or more test failures), it will automatically switch to the redundant voltage mode. Specifically, the control module raises the output voltage of the power supply module to a higher gear, overcomes the possible mechanical resistance or residual magnetism interference by enhancing the driving torque, and re-executes the parameter decrement test and the closed-loop optimization process at this voltage.

[0060] Through the above automatic measurement and control program steps, the dynamic adaptation and closed-loop verification of the drive parameters of the magnetic control mechanism are realized, ensuring its action reliability and residual magnetism controllability under complex working conditions, and providing a high-confidence data basis for the final parameter output.

[0061] For step S4, in this embodiment, the result display and storage step is used to comprehensively process and persistently save the data output by the automatic measurement and control program, ensuring the visual presentation of the optimal drive parameters and the traceability of historical data, which is specifically implemented through data calculation, visualization interface generation, and storage architecture design.

[0062] In the optimal drive parameter calculation stage, the control module constructs a comprehensive evaluation model based on the multi-dimensional data collected in the closed-loop test stage. The data includes but is not limited to the critical closing / opening pulse duration, residual magnetic intensity distribution, action time standard deviation, and contact resistance value of the contacts.

[0063] Preferably, the comprehensive evaluation model adopts a weighted scoring algorithm, normalizes each index according to the preset weight, and calculates the comprehensive score. The specific formula is: Score=w1·f(T action )+w2·g(B remanence )+w3·h(R contact ) Where, T action is the action time stability index, B remanence is the deviation degree of the residual magnetic intensity, R contact is the contact resistance consistency, w1, w2, w3 are weight coefficients, and f, g, h are the normalization functions of each index. By traversing the data of all test rounds, the parameter combination with the highest comprehensive score is selected as the final optimal drive parameter.

[0064] In the visualization display stage, the display module generates a multi-dimensional data interaction interface, specifically including: Residual magnetic - pulse duration relationship curve: Taking the pulse duration as the abscissa and the residual magnetic intensity as the ordinate, draw the residual magnetic distribution trend under different parameters; Action time distribution histogram: Statistically analyze the frequency distribution of the closing / opening action time in each round of testing, and mark the action time interval corresponding to the optimal parameters; Parameter comparison table: Show the numerical differences and performance improvement ratios between the optimal parameters and the initial parameters in tabular form.

[0065] Preferably, the interaction interface supports touch operations, allowing users to click on specific data points to view detailed information, such as the original magnetic field waveform or drive current time series diagram of a certain test.

[0066] During the data storage phase, a hierarchical storage architecture is adopted to classify and save the test process data and optimization results. The original test data (including drive current waveforms, magnetic field strength timings, action time records) is named with timestamps and organized and stored according to test rounds to ensure the temporal consistency of data retrieval. The optimization result data (optimal parameter combinations, comprehensive evaluation scores, key indicator statistical values) is stored in a structured format (such as JSON or CSV), and a metadata description file is attached to record the test environment conditions (such as temperature, power supply voltage) and the hardware configuration version.

[0067] Preferably, the storage module supports network transmission protocols and can synchronize the data to a remote server or a cloud database for subsequent cross-device data comparison and analysis.

[0068] Preferably, the result display and storage step includes a data integrity verification mechanism. During the storage process, the control module generates a data verification code through a hash algorithm and saves it together with the data content. When historical data is called, the verification code is recalculated and compared with the stored value. If they are inconsistent, data repair or an alarm prompt is triggered to ensure the reliability of the stored data.

[0069] Through the above result display and storage steps, the full life cycle management of test data from dynamic acquisition to static archiving is realized, providing standardized data support for parameter deployment, fault backtracking, and performance optimization of the magnetron vacuum circuit breaker. At the same time, through the user-friendly design of the visualization interface, the understanding threshold of complex data for users is reduced, and the operation convenience of the parameter tuning process is improved.

[0070] In a preferred embodiment of the present invention, the method further includes multi-voltage mode testing, specifically: Switch the output of the power supply module to different voltage values; Independently execute the measurement and control processes of steps 2 to 4 for each voltage value to obtain the corresponding optimal parameters.

[0071] In this preferred embodiment, the multi-voltage mode testing is used to expand the parameter adaptation range of the magnetron vacuum circuit breaker driver. By independently executing the measurement and control processes at different power supply voltages, the optimal drive parameters matching each voltage value are obtained, specifically realized through voltage dynamic switching, independent measurement and control process execution, and parameter correlation mapping.

[0072] Voltage switching and test environment initialization: The control module sends a voltage switching instruction to the power supply module to adjust the output voltage to a preset number of discrete voltage values (such as DC220V, DC360V, DC380V). Preferably, the power supply module adopts a combined design of a multi-tap transformer and a programmable DC-DC converter, supporting wide-range voltage output and millisecond-level switching response. After the voltage switching is completed, the control module recalibrates the zero offset of the magnetic sensor module to eliminate the drift of the magnetic field detection reference caused by voltage changes.

[0073] Independent measurement and control process execution: For each voltage value, the entire process of manual preliminary testing (S2), automatic measurement and control program (S3), and result display and storage (S4) is executed in sequence. Specifically, the optimal drive parameters (such as closing / opening pulse duration) obtained at a certain voltage are only bound to that voltage value, and the measurement and control data and optimization results at different voltages are stored independently of each other. Preferably, the execution order of the measurement and control process supports parallel or serial modes: Serial mode: Execute in ascending or descending order of voltage values, applicable to single-device test scenarios; Parallel mode: Synchronously output different voltages and drive signals through multiple power supply modules and drive modules, applicable to batch test scenarios of multiple magneto-mechanical mechanisms.

[0074] Voltage-parameter adaptation mechanism: In the automatic measurement and control program (S3), the parameter optimization strategy is dynamically adjusted for different voltage values. For example, at a lower voltage (such as DC220V), due to the decrease in driving torque, the adjustment step size of the closing pulse duration in the closed-loop test stage is correspondingly reduced to avoid action failure due to insufficient pulse duration; at a higher voltage (such as DC380V), the decreasing step size of the opening pulse duration is increased to accelerate the critical value calibration process. Preferably, the adjustment strategy is implemented through a look-up table method, and the recommended step size range and parameter weight coefficients corresponding to different voltages are stored in the table.

[0075] Data storage and correlation analysis: The test data and optimal parameters at all voltages are stored by voltage value classification, and a voltage-parameter mapping relationship database is established. Each record in the database includes the voltage value, optimal pulse duration, remanence control threshold, and action time stability index. Preferably, the database supports cross-voltage query functions. For example, after inputting the target action time range, it automatically filters out the voltage-parameter combinations that meet the conditions, providing data support for the multi-condition deployment of magneto-mechanical mechanisms.

[0076] Extended function: Voltage adaptive mode Preferably, the multi-voltage mode test can be further extended to a voltage adaptive control function. In practical applications, the magnetically controlled vacuum circuit breaker automatically calls the optimal driving parameters matching the voltage in the database according to the real-time voltage fluctuation of the power grid, so as to achieve dynamic parameter adaptation. For example, when it is detected that the power grid voltage fluctuates from DC360V to DC380V, the control module extracts the closing / opening pulse duration corresponding to DC380V from the database and updates the configuration parameters of the driving module to ensure that the action reliability is not affected by the voltage fluctuation.

[0077] Through the above multi-voltage mode test steps, the present invention realizes the full voltage range coverage of the driving parameters of the magnetic control mechanism, significantly improves the adaptability of the magnetically controlled vacuum circuit breaker in a complex power supply environment, and provides underlying data support for parameter self-correction in the voltage fluctuation scenario.

[0078] Generally speaking, the present invention provides a collaborative process of hardware initialization, manual test calibration, parameter decrement optimization and closed-loop iterative verification. Combining the dynamic monitoring of the remanence direction and intensity and the degaussing pulse control, it realizes the automatic adaptation of the driving parameters; further introduces the multi-voltage mode test to generate a voltage-parameter mapping table, solves the problems of traditional debugging relying on manual experience, action failure caused by remanence accumulation and poor adaptability to multi-scenario voltage fluctuations, significantly improves the action reliability and debugging efficiency of the magnetic control mechanism, and provides a highly robust driving control solution for smart grid equipment.

[0079] Please refer to the atta Figure 3 , the present invention also provides an automatic measurement and control system for the parameters of the magnetically controlled vacuum circuit breaker driver for performing the above method, which is characterized by including: A power supply module for providing multi-voltage output and supporting dynamic switching; A control module for coordinating the test process, issuing control instructions and processing data; A driving module for generating a driving signal with an adjustable pulse duration according to the instructions of the control module; A magnetic sensor module for real-time monitoring of the remanence direction and magnitude of the magnetic control mechanism; A display module for visualizing the test data and the optimal parameters; A data storage module for storing the test process data and the optimization results.

[0080] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An automatic measurement and control method for the parameters of a magnetron vacuum circuit breaker driver, characterized in that, It includes the following steps: Step 1, Hardware initialization: Connect the power supply module, control module, drive module and magnetic sensor module, start the power supply and select the test mode; Step 2, Manual preliminary test: Set the initial drive parameters, perform manual opening / closing operations to verify the basic functions of the magnetic control mechanism; Step 3, Execute the automatic measurement and control program: Perform multiple normal opening / closing operations to evaluate the stability; Gradually adjust the opening and closing pulse durations until the operation is abnormal, and record the critical parameters; Real-time monitor the direction and magnitude of the residual magnetism, and dynamically adjust the drive parameters to meet the requirements of the residual magnetism; Iteratively optimize the parameters through multiple rounds of closed-loop testing; Step 4, Result display and storage: Output the optimal drive parameters and store the test data.

2. The method for automatically measuring and controlling the parameters of a magnetron vacuum circuit breaker driver according to claim 1, characterized in that The test mode in Step 1 includes: Analog switch test mode: Simulate the real switch working conditions by installing the final voltage contact spring and the opening spring; Real switch test mode: Directly connect the actual magnetic control vacuum circuit breaker for testing.

3. The method for automatically measuring and controlling the parameters of the magnetron vacuum circuit breaker driver according to claim 1, characterized in that, The initial drive parameters in Step 2 include: Initial voltage value; Initial closing pulse duration and opening pulse duration.

4. The method for automatically measuring and controlling the parameters of the magnetron vacuum circuit breaker driver according to claim 1, characterized in that, The specific operation of gradually adjusting the opening and closing pulse durations in Step 3 is: Decrease the closing pulse duration in preset steps, and perform multiple closing tests until the operation is abnormal; Decrease the opening pulse duration in preset steps, and perform multiple opening tests until the operation is abnormal.

5. The automatic measurement and control method for the parameters of the magnetron vacuum circuit breaker driver according to claim 1, characterized in that The real-time monitoring of the direction and magnitude of the residual magnetism in Step 3 includes: Collect the residual magnetism data through the magnetic sensor, and judge whether the direction of the residual magnetism is the positive direction; If the direction of the residual magnetism is not positive or the magnitude exceeds the preset threshold, automatically adjust the drive parameters and retest.

6. The automatic measurement and control method for the parameters of the magnetron vacuum circuit breaker driver according to claim 1, characterized in that, The ways of dynamically adjusting the drive parameters in Step 3 include at least one of the following: Adjust the closing or opening pulse duration; Switch the output voltage of the power supply module; Modify the iteration rounds of the closed-loop test.

7. The method for automatically measuring and controlling the parameters of the magnetron vacuum circuit breaker driver according to claim 1, characterized in that, The multiple rounds of closed-loop testing in Step 3 include: Set the preset test rounds; Based on the results of the previous round of testing, fine-tune the drive parameters in each round of testing.

8. The method for automatically measuring and controlling the parameters of the magnetron vacuum circuit breaker driver according to claim 1, characterized in that, The optimal drive parameters in Step 4 are determined by the following methods: Perform data fitting calculations based on the critical parameters, residual magnetism range and stability indicators; Select the parameter combination with the optimal comprehensive performance in combination with the iteration results of multiple rounds of closed-loop testing.

9. The automatic measurement and control method for the parameters of the magnetron vacuum circuit breaker driver according to claim 1, characterized in that, It also includes multi-voltage mode testing: Switch the output of the power supply module to different voltage values; Independently execute the measurement and control process from Step 2 to Step 4 for each voltage value to obtain the corresponding optimal parameters.

10. A magnetic control vacuum circuit breaker driver parameter automatic measurement and control system for performing the method according to any one of claims 1-9, characterized in that, It includes: Power supply module, used to provide multi-voltage output and support dynamic switching; Control module, used to coordinate the test process, issue control instructions and process data; Drive module, which generates a drive signal with adjustable pulse duration according to the instructions of the control module; Magnetic sensor module, which real-time monitors the direction and magnitude of the residual magnetism of the magnetic control mechanism; Display module, used to visualize the test data and optimal parameters; Data storage module, used to store the test process data and optimization results.

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